467819 2 Joaquin Vanschoren 4312 Supervised Classification predictive_accuracy 1185 weka.Bagging_REPTree(8) 2032 weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 10 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 M 2 1077 V 0.001 1077 N 3 1077 S 1 1077 L -1 1077 I 0.0 1077 P 100 1185 S 1 1185 num-slots 1 1185 I 10 1185 W weka.classifiers.trees.REPTree 1185 weka weka_3.7.12 741 rmftsa_sleepdata https://www.openml.org/data/download/53275/rmftsa_sleepdata.arff -1 1645561 description https://api.openml.org/data/download/1645561/weka_generated_run8048086343874973485.xml -1 1645564 model_readable https://api.openml.org/data/download/1645564/WekaModel_weka.classifiers.meta.Bagging3823473792966662688.model -1 1645563 model_serialized https://api.openml.org/data/download/1645563/WekaSerialized_weka.classifiers.meta.Bagging4566367639922768146.model -1 1645562 predictions https://api.openml.org/data/download/1645562/weka_generated_predictions5122075882410889985.arff area_under_roc_curve 0.801033 [0.801033,0.801033] average_cost 0 f_measure 0.730212 [0.725229,0.735136] kappa 0.460449 kb_relative_information_score 3316.190378 mean_absolute_error 0.35303 mean_prior_absolute_error 0.499983 number_of_instances 10240 [5090,5150] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.730378 [0.734583,0.726222] predictive_accuracy 0.730273 prior_entropy 0.999975 recall 0.730273 [0.71611,0.744272] relative_absolute_error 0.706084 root_mean_prior_squared_error 0.499991 root_mean_squared_error 0.426175 root_relative_squared_error 0.852365 scimark_benchmark 938.191038 [560.6688329969002, 1014.1868590421574, 483.0147548568529, 877.0290826596154, 1756.0556588021248] total_cost 0 usercpu_time_millis 20 usercpu_time_millis_testing 0 usercpu_time_millis_training 20 area_under_roc_curve 0.838989 [0.838989,0.838989] area_under_roc_curve 0.775452 [0.775452,0.775452] area_under_roc_curve 0.74095 [0.74095,0.74095] area_under_roc_curve 0.840121 [0.840121,0.840121] area_under_roc_curve 0.812594 [0.812594,0.812594] area_under_roc_curve 0.873115 [0.873115,0.873115] area_under_roc_curve 0.774887 [0.774887,0.774887] area_under_roc_curve 0.850113 [0.850113,0.850113] area_under_roc_curve 0.802602 [0.802602,0.802602] area_under_roc_curve 0.75773 [0.75773,0.75773] area_under_roc_curve 0.818439 [0.818439,0.818439] area_under_roc_curve 0.814291 [0.814291,0.814291] area_under_roc_curve 0.88914 [0.88914,0.88914] area_under_roc_curve 0.716629 [0.716629,0.716629] area_under_roc_curve 0.795249 [0.795249,0.795249] area_under_roc_curve 0.739065 [0.739065,0.739065] area_under_roc_curve 0.781674 [0.781674,0.781674] area_under_roc_curve 0.803544 [0.803544,0.803544] area_under_roc_curve 0.84408 [0.84408,0.84408] area_under_roc_curve 0.880845 [0.880845,0.880845] area_under_roc_curve 0.82221 [0.82221,0.82221] area_under_roc_curve 0.841063 [0.841063,0.841063] area_under_roc_curve 0.780354 [0.780354,0.780354] area_under_roc_curve 0.864819 [0.864819,0.864819] area_under_roc_curve 0.795249 [0.795249,0.795249] area_under_roc_curve 0.707202 [0.707202,0.707202] area_under_roc_curve 0.809201 [0.809201,0.809201] area_under_roc_curve 0.815988 [0.815988,0.815988] area_under_roc_curve 0.781486 [0.781486,0.781486] area_under_roc_curve 0.837293 [0.837293,0.837293] area_under_roc_curve 0.781109 [0.781109,0.781109] area_under_roc_curve 0.742459 [0.742459,0.742459] area_under_roc_curve 0.79506 [0.79506,0.79506] area_under_roc_curve 0.861237 [0.861237,0.861237] area_under_roc_curve 0.853318 [0.853318,0.853318] area_under_roc_curve 0.776018 [0.776018,0.776018] area_under_roc_curve 0.832391 [0.832391,0.832391] area_under_roc_curve 0.717006 [0.717006,0.717006] area_under_roc_curve 0.803167 [0.803167,0.803167] area_under_roc_curve 0.897436 [0.897436,0.897436] area_under_roc_curve 0.88293 [0.88293,0.88293] area_under_roc_curve 0.835256 [0.835256,0.835256] area_under_roc_curve 0.809112 [0.809112,0.809112] area_under_roc_curve 0.756346 [0.756346,0.756346] area_under_roc_curve 0.825769 [0.825769,0.825769] area_under_roc_curve 0.827759 [0.827759,0.827759] area_under_roc_curve 0.830192 [0.830192,0.830192] area_under_roc_curve 0.791923 [0.791923,0.791923] area_under_roc_curve 0.819108 [0.819108,0.819108] area_under_roc_curve 0.853518 [0.853518,0.853518] area_under_roc_curve 0.769704 [0.769704,0.769704] area_under_roc_curve 0.843522 [0.843522,0.843522] area_under_roc_curve 0.707805 [0.707805,0.707805] area_under_roc_curve 0.795656 [0.795656,0.795656] area_under_roc_curve 0.814302 [0.814302,0.814302] area_under_roc_curve 0.817762 [0.817762,0.817762] area_under_roc_curve 0.786236 [0.786236,0.786236] area_under_roc_curve 0.816993 [0.816993,0.816993] area_under_roc_curve 0.856786 [0.856786,0.856786] area_under_roc_curve 0.782199 [0.782199,0.782199] area_under_roc_curve 0.788543 [0.788543,0.788543] area_under_roc_curve 0.834102 [0.834102,0.834102] area_under_roc_curve 0.849097 [0.849097,0.849097] area_under_roc_curve 0.780085 [0.780085,0.780085] area_under_roc_curve 0.819685 [0.819685,0.819685] area_under_roc_curve 0.914264 [0.914264,0.914264] area_under_roc_curve 0.732795 [0.732795,0.732795] area_under_roc_curve 0.749135 [0.749135,0.749135] area_under_roc_curve 0.829873 [0.829873,0.829873] area_under_roc_curve 0.779316 [0.779316,0.779316] area_under_roc_curve 0.82276 [0.82276,0.82276] area_under_roc_curve 0.693003 [0.693003,0.693003] area_under_roc_curve 0.843137 [0.843137,0.843137] area_under_roc_curve 0.79085 [0.79085,0.79085] area_under_roc_curve 0.776817 [0.776817,0.776817] area_under_roc_curve 0.707997 [0.707997,0.707997] area_under_roc_curve 0.840446 [0.840446,0.840446] area_under_roc_curve 0.832757 [0.832757,0.832757] area_under_roc_curve 0.746444 [0.746444,0.746444] area_under_roc_curve 0.774894 [0.774894,0.774894] area_under_roc_curve 0.791234 [0.791234,0.791234] area_under_roc_curve 0.902153 [0.902153,0.902153] area_under_roc_curve 0.753556 [0.753556,0.753556] area_under_roc_curve 0.841792 [0.841792,0.841792] area_under_roc_curve 0.758939 [0.758939,0.758939] area_under_roc_curve 0.831411 [0.831411,0.831411] area_under_roc_curve 0.858131 [0.858131,0.858131] area_under_roc_curve 0.838139 [0.838139,0.838139] area_under_roc_curve 0.789312 [0.789312,0.789312] area_under_roc_curve 0.759516 [0.759516,0.759516] area_under_roc_curve 0.792692 [0.792692,0.792692] area_under_roc_curve 0.784038 [0.784038,0.784038] area_under_roc_curve 0.854231 [0.854231,0.854231] area_under_roc_curve 0.785467 [0.785467,0.785467] area_under_roc_curve 0.823914 [0.823914,0.823914] area_under_roc_curve 0.833654 [0.833654,0.833654] area_under_roc_curve 0.804691 [0.804691,0.804691] area_under_roc_curve 0.793349 [0.793349,0.793349] area_under_roc_curve 0.815385 [0.815385,0.815385] area_under_roc_curve 0.759615 [0.759615,0.759615] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.698688 [0.686869,0.71028] f_measure 0.667645 [0.638298,0.696429] f_measure 0.716951 [0.694737,0.738739] f_measure 0.735619 [0.709677,0.761062] f_measure 0.737369 [0.747664,0.727273] f_measure 0.766946 [0.769231,0.764706] f_measure 0.727074 [0.708333,0.745455] f_measure 0.746234 [0.763636,0.729167] f_measure 0.728104 [0.730769,0.72549] f_measure 0.695879 [0.725664,0.666667] f_measure 0.776446 [0.767677,0.785047] f_measure 0.717648 [0.701031,0.733945] f_measure 0.795034 [0.778947,0.810811] f_measure 0.611577 [0.615385,0.607843] f_measure 0.737567 [0.727273,0.747664] f_measure 0.669716 [0.66,0.679245] f_measure 0.728001 [0.72,0.735849] f_measure 0.726296 [0.702128,0.75] f_measure 0.757236 [0.752475,0.761905] f_measure 0.76655 [0.755102,0.777778] f_measure 0.736472 [0.715789,0.756757] f_measure 0.746569 [0.729167,0.763636] f_measure 0.67943 [0.685714,0.673267] f_measure 0.805789 [0.807692,0.803922] f_measure 0.718128 [0.707071,0.728972] f_measure 0.640709 [0.633663,0.647619] f_measure 0.718394 [0.712871,0.72381] f_measure 0.747573 [0.745098,0.75] f_measure 0.669903 [0.666667,0.673077] f_measure 0.786408 [0.784314,0.788462] f_measure 0.737815 [0.732673,0.742857] f_measure 0.630998 [0.634615,0.627451] f_measure 0.717328 [0.733945,0.701031] f_measure 0.776446 [0.767677,0.785047] f_measure 0.804497 [0.787234,0.821429] f_measure 0.679551 [0.673267,0.685714] f_measure 0.74743 [0.74,0.754717] f_measure 0.669716 [0.66,0.679245] f_measure 0.705683 [0.673913,0.736842] f_measure 0.83492 [0.831683,0.838095] f_measure 0.784231 [0.788462,0.78] f_measure 0.734042 [0.715789,0.752294] f_measure 0.72549 [0.72549,0.72549] f_measure 0.695639 [0.680412,0.71028] f_measure 0.764525 [0.755102,0.773585] f_measure 0.754312 [0.742268,0.766355] f_measure 0.745098 [0.745098,0.745098] f_measure 0.686275 [0.68,0.692308] f_measure 0.773967 [0.785047,0.762887] f_measure 0.745098 [0.745098,0.745098] f_measure 0.745098 [0.745098,0.745098] f_measure 0.773967 [0.762887,0.785047] f_measure 0.65683 [0.660194,0.653465] f_measure 0.696049 [0.699029,0.693069] f_measure 0.704861 [0.722222,0.6875] f_measure 0.733217 [0.709677,0.756757] f_measure 0.744705 [0.754717,0.734694] f_measure 0.703028 [0.673913,0.732143] f_measure 0.784314 [0.784314,0.784314] f_measure 0.745 [0.74,0.75] f_measure 0.696049 [0.699029,0.693069] f_measure 0.774315 [0.780952,0.767677] f_measure 0.793622 [0.783505,0.803738] f_measure 0.696049 [0.693069,0.699029] f_measure 0.745098 [0.745098,0.745098] f_measure 0.852927 [0.851485,0.854369] f_measure 0.665509 [0.685185,0.645833] f_measure 0.644874 [0.617021,0.672727] f_measure 0.734657 [0.747664,0.721649] f_measure 0.695815 [0.704762,0.686869] f_measure 0.714341 [0.694737,0.733945] f_measure 0.647059 [0.647059,0.647059] f_measure 0.803241 [0.814815,0.791667] f_measure 0.722826 [0.695652,0.75] f_measure 0.698463 [0.651163,0.745763] f_measure 0.695815 [0.704762,0.686869] f_measure 0.794098 [0.792079,0.796117] f_measure 0.764343 [0.755102,0.773585] f_measure 0.675691 [0.659794,0.691589] f_measure 0.664603 [0.638298,0.690909] f_measure 0.704861 [0.722222,0.6875] f_measure 0.803922 [0.803922,0.803922] f_measure 0.675691 [0.691589,0.659794] f_measure 0.784231 [0.78,0.788462] f_measure 0.676439 [0.679612,0.673267] f_measure 0.744213 [0.759259,0.729167] f_measure 0.784231 [0.78,0.788462] f_measure 0.774488 [0.772277,0.776699] f_measure 0.733217 [0.756757,0.709677] f_measure 0.685185 [0.703704,0.666667] f_measure 0.715276 [0.72381,0.707071] f_measure 0.754926 [0.752475,0.757282] f_measure 0.802399 [0.782609,0.821429] f_measure 0.65417 [0.623656,0.684685] f_measure 0.745 [0.74,0.75] f_measure 0.784148 [0.788462,0.78] f_measure 0.754878 [0.752475,0.757282] f_measure 0.735269 [0.737864,0.732673] f_measure 0.742117 [0.711111,0.77193] f_measure 0.665119 [0.638298,0.690909] kappa 0.397661 kappa 0.338746 kappa 0.436096 kappa 0.474788 kappa 0.476173 kappa 0.534112 kappa 0.455644 kappa 0.495858 kappa 0.456464 kappa 0.399247 kappa 0.553103 kappa 0.436309 kappa 0.591656 kappa 0.223521 kappa 0.475382 kappa 0.339495 kappa 0.456054 kappa 0.455438 kappa 0.514426 kappa 0.533585 kappa 0.474986 kappa 0.494526 kappa 0.359525 kappa 0.61176 kappa 0.436521 kappa 0.28135 kappa 0.436734 kappa 0.495098 kappa 0.339744 kappa 0.572775 kappa 0.47558 kappa 0.262345 kappa 0.437582 kappa 0.553103 kappa 0.611027 kappa 0.359042 kappa 0.494908 kappa 0.339495 kappa 0.41632 kappa 0.66981 kappa 0.568627 kappa 0.470588 kappa 0.45098 kappa 0.391221 kappa 0.528868 kappa 0.509804 kappa 0.490392 kappa 0.372308 kappa 0.54902 kappa 0.490196 kappa 0.490196 kappa 0.54902 kappa 0.313725 kappa 0.392157 kappa 0.411765 kappa 0.470588 kappa 0.490196 kappa 0.411765 kappa 0.568627 kappa 0.490196 kappa 0.392157 kappa 0.54902 kappa 0.588235 kappa 0.392157 kappa 0.490196 kappa 0.705882 kappa 0.333333 kappa 0.294118 kappa 0.470588 kappa 0.392157 kappa 0.431373 kappa 0.294118 kappa 0.607843 kappa 0.45098 kappa 0.411765 kappa 0.392157 kappa 0.588235 kappa 0.529412 kappa 0.352941 kappa 0.333333 kappa 0.411765 kappa 0.607843 kappa 0.352941 kappa 0.568627 kappa 0.352941 kappa 0.490196 kappa 0.568627 kappa 0.54902 kappa 0.470588 kappa 0.372549 kappa 0.432246 kappa 0.509804 kappa 0.606481 kappa 0.313725 kappa 0.490196 kappa 0.569124 kappa 0.509804 kappa 0.470588 kappa 0.488031 kappa 0.331534 kb_relative_information_score 34.84365 kb_relative_information_score 29.050523 kb_relative_information_score 27.862711 kb_relative_information_score 39.599311 kb_relative_information_score 34.196986 kb_relative_information_score 37.550903 kb_relative_information_score 31.093281 kb_relative_information_score 37.428771 kb_relative_information_score 33.517357 kb_relative_information_score 26.582707 kb_relative_information_score 36.327149 kb_relative_information_score 32.59301 kb_relative_information_score 40.299004 kb_relative_information_score 20.968581 kb_relative_information_score 33.156922 kb_relative_information_score 27.976749 kb_relative_information_score 31.837503 kb_relative_information_score 34.665129 kb_relative_information_score 35.582335 kb_relative_information_score 41.71478 kb_relative_information_score 34.132211 kb_relative_information_score 36.370453 kb_relative_information_score 29.86689 kb_relative_information_score 40.568768 kb_relative_information_score 32.078809 kb_relative_information_score 22.921762 kb_relative_information_score 32.0453 kb_relative_information_score 35.426652 kb_relative_information_score 28.859155 kb_relative_information_score 36.105222 kb_relative_information_score 33.810928 kb_relative_information_score 25.073959 kb_relative_information_score 33.646318 kb_relative_information_score 40.267342 kb_relative_information_score 41.225571 kb_relative_information_score 30.936946 kb_relative_information_score 38.953386 kb_relative_information_score 24.681975 kb_relative_information_score 29.250714 kb_relative_information_score 42.716147 kb_relative_information_score 42.028433 kb_relative_information_score 34.187551 kb_relative_information_score 34.353802 kb_relative_information_score 28.625771 kb_relative_information_score 36.504297 kb_relative_information_score 36.152725 kb_relative_information_score 35.536616 kb_relative_information_score 32.065793 kb_relative_information_score 34.227146 kb_relative_information_score 37.04797 kb_relative_information_score 31.027135 kb_relative_information_score 38.689091 kb_relative_information_score 24.600718 kb_relative_information_score 32.073839 kb_relative_information_score 33.319013 kb_relative_information_score 32.69583 kb_relative_information_score 31.938847 kb_relative_information_score 30.612866 kb_relative_information_score 40.246189 kb_relative_information_score 31.582006 kb_relative_information_score 30.524196 kb_relative_information_score 38.317725 kb_relative_information_score 37.331896 kb_relative_information_score 28.391831 kb_relative_information_score 34.717387 kb_relative_information_score 44.791712 kb_relative_information_score 25.280566 kb_relative_information_score 24.392983 kb_relative_information_score 34.022268 kb_relative_information_score 29.054987 kb_relative_information_score 34.383752 kb_relative_information_score 20.627708 kb_relative_information_score 39.281257 kb_relative_information_score 32.595204 kb_relative_information_score 29.957585 kb_relative_information_score 21.587602 kb_relative_information_score 37.781855 kb_relative_information_score 37.710184 kb_relative_information_score 26.495035 kb_relative_information_score 29.232162 kb_relative_information_score 29.635797 kb_relative_information_score 42.74559 kb_relative_information_score 26.051263 kb_relative_information_score 39.089155 kb_relative_information_score 27.881306 kb_relative_information_score 34.971188 kb_relative_information_score 38.212132 kb_relative_information_score 37.792528 kb_relative_information_score 33.077464 kb_relative_information_score 28.84031 kb_relative_information_score 33.535568 kb_relative_information_score 31.081775 kb_relative_information_score 39.171255 kb_relative_information_score 28.872439 kb_relative_information_score 36.114141 kb_relative_information_score 35.346543 kb_relative_information_score 29.847851 kb_relative_information_score 32.407248 kb_relative_information_score 34.455855 kb_relative_information_score 27.28157 mean_absolute_error 0.345091 mean_absolute_error 0.369137 mean_absolute_error 0.378887 mean_absolute_error 0.321794 mean_absolute_error 0.35024 mean_absolute_error 0.335132 mean_absolute_error 0.362697 mean_absolute_error 0.335188 mean_absolute_error 0.353244 mean_absolute_error 0.383282 mean_absolute_error 0.340868 mean_absolute_error 0.356723 mean_absolute_error 0.323723 mean_absolute_error 0.40297 mean_absolute_error 0.354478 mean_absolute_error 0.374593 mean_absolute_error 0.358759 mean_absolute_error 0.348549 mean_absolute_error 0.345464 mean_absolute_error 0.31668 mean_absolute_error 0.349999 mean_absolute_error 0.340469 mean_absolute_error 0.365134 mean_absolute_error 0.323585 mean_absolute_error 0.357067 mean_absolute_error 0.396977 mean_absolute_error 0.358552 mean_absolute_error 0.344121 mean_absolute_error 0.371267 mean_absolute_error 0.342646 mean_absolute_error 0.350135 mean_absolute_error 0.38686 mean_absolute_error 0.350333 mean_absolute_error 0.322493 mean_absolute_error 0.319172 mean_absolute_error 0.362693 mean_absolute_error 0.326389 mean_absolute_error 0.391145 mean_absolute_error 0.370545 mean_absolute_error 0.313833 mean_absolute_error 0.313103 mean_absolute_error 0.347105 mean_absolute_error 0.346478 mean_absolute_error 0.372918 mean_absolute_error 0.336184 mean_absolute_error 0.338905 mean_absolute_error 0.34308 mean_absolute_error 0.35457 mean_absolute_error 0.35042 mean_absolute_error 0.335474 mean_absolute_error 0.363967 mean_absolute_error 0.32923 mean_absolute_error 0.389959 mean_absolute_error 0.357045 mean_absolute_error 0.351138 mean_absolute_error 0.354892 mean_absolute_error 0.358308 mean_absolute_error 0.363934 mean_absolute_error 0.320705 mean_absolute_error 0.35995 mean_absolute_error 0.362233 mean_absolute_error 0.331267 mean_absolute_error 0.336382 mean_absolute_error 0.372432 mean_absolute_error 0.345685 mean_absolute_error 0.303053 mean_absolute_error 0.388977 mean_absolute_error 0.391147 mean_absolute_error 0.348884 mean_absolute_error 0.37161 mean_absolute_error 0.344924 mean_absolute_error 0.407757 mean_absolute_error 0.327038 mean_absolute_error 0.354623 mean_absolute_error 0.367644 mean_absolute_error 0.404729 mean_absolute_error 0.33532 mean_absolute_error 0.333589 mean_absolute_error 0.382247 mean_absolute_error 0.36768 mean_absolute_error 0.367604 mean_absolute_error 0.312519 mean_absolute_error 0.383516 mean_absolute_error 0.325056 mean_absolute_error 0.37528 mean_absolute_error 0.345431 mean_absolute_error 0.332533 mean_absolute_error 0.332584 mean_absolute_error 0.353755 mean_absolute_error 0.371988 mean_absolute_error 0.349437 mean_absolute_error 0.364157 mean_absolute_error 0.326179 mean_absolute_error 0.368469 mean_absolute_error 0.33891 mean_absolute_error 0.344718 mean_absolute_error 0.369556 mean_absolute_error 0.354545 mean_absolute_error 0.345902 mean_absolute_error 0.375546 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.499972 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499943 mean_prior_absolute_error 0.499943 number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 103 [51,52] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [50,52] number_of_instances 102 [50,52] number_of_instances 102 [51,51] number_of_instances 102 [50,52] number_of_instances 102 [50,52] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [50,52] number_of_instances 102 [50,52] number_of_instances 102 [50,52] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [50,52] number_of_instances 102 [51,51] number_of_instances 102 [51,51] number_of_instances 102 [50,52] number_of_instances 102 [50,52] precision 0.699537 [0.708333,0.690909] precision 0.673606 [0.697674,0.65] precision 0.72219 [0.75,0.694915] precision 0.744924 [0.785714,0.704918] precision 0.740372 [0.714286,0.765957] precision 0.767481 [0.754717,0.78] precision 0.73099 [0.755556,0.706897] precision 0.754065 [0.711864,0.795455] precision 0.728602 [0.716981,0.74] precision 0.709154 [0.66129,0.756098] precision 0.777515 [0.791667,0.763636] precision 0.720261 [0.73913,0.701754] precision 0.801431 [0.840909,0.762712] precision 0.611966 [0.603774,0.62] precision 0.738526 [0.75,0.727273] precision 0.670035 [0.673469,0.666667] precision 0.728398 [0.734694,0.722222] precision 0.733394 [0.767442,0.7] precision 0.757333 [0.76,0.754717] precision 0.768436 [0.787234,0.75] precision 0.742 [0.772727,0.711864] precision 0.750697 [0.777778,0.724138] precision 0.680404 [0.666667,0.693878] precision 0.80636 [0.792453,0.82] precision 0.719031 [0.729167,0.709091] precision 0.640762 [0.64,0.641509] precision 0.718476 [0.72,0.716981] precision 0.747573 [0.745098,0.75] precision 0.669903 [0.666667,0.673077] precision 0.786408 [0.784314,0.788462] precision 0.737904 [0.74,0.735849] precision 0.631405 [0.622642,0.64] precision 0.722925 [0.689655,0.755556] precision 0.777515 [0.791667,0.763636] precision 0.813111 [0.860465,0.766667] precision 0.679619 [0.68,0.679245] precision 0.747852 [0.755102,0.740741] precision 0.670035 [0.673469,0.666667] precision 0.716377 [0.756098,0.677419] precision 0.835047 [0.84,0.830189] precision 0.784752 [0.773585,0.795918] precision 0.739812 [0.772727,0.706897] precision 0.72549 [0.72549,0.72549] precision 0.696408 [0.702128,0.690909] precision 0.764933 [0.770833,0.759259] precision 0.757376 [0.782609,0.732143] precision 0.745671 [0.730769,0.76] precision 0.686275 [0.68,0.692308] precision 0.777174 [0.75,0.804348] precision 0.745098 [0.745098,0.745098] precision 0.745098 [0.745098,0.745098] precision 0.777174 [0.804348,0.75] precision 0.656923 [0.653846,0.66] precision 0.696154 [0.692308,0.7] precision 0.708772 [0.684211,0.733333] precision 0.742857 [0.785714,0.7] precision 0.746615 [0.727273,0.765957] precision 0.714114 [0.756098,0.672131] precision 0.784314 [0.784314,0.784314] precision 0.745476 [0.755102,0.735849] precision 0.696154 [0.692308,0.7] precision 0.775463 [0.759259,0.791667] precision 0.796972 [0.826087,0.767857] precision 0.696154 [0.7,0.692308] precision 0.745098 [0.745098,0.745098] precision 0.853077 [0.86,0.846154] precision 0.669006 [0.649123,0.688889] precision 0.650769 [0.674419,0.627119] precision 0.737578 [0.714286,0.76087] precision 0.696759 [0.685185,0.708333] precision 0.719828 [0.75,0.689655] precision 0.647059 [0.647059,0.647059] precision 0.808187 [0.77193,0.844444] precision 0.734506 [0.780488,0.688525] precision 0.728358 [0.8,0.656716] precision 0.696759 [0.685185,0.708333] precision 0.794231 [0.8,0.788462] precision 0.766344 [0.787234,0.745455] precision 0.678183 [0.695652,0.660714] precision 0.670871 [0.697674,0.644068] precision 0.708772 [0.684211,0.733333] precision 0.803922 [0.803922,0.803922] precision 0.678183 [0.660714,0.695652] precision 0.784752 [0.795918,0.773585] precision 0.676538 [0.673077,0.68] precision 0.748538 [0.719298,0.777778] precision 0.784752 [0.795918,0.773585] precision 0.774615 [0.78,0.769231] precision 0.742857 [0.7,0.785714] precision 0.688889 [0.666667,0.711111] precision 0.718322 [0.690909,0.744681] precision 0.755094 [0.745098,0.764706] precision 0.811018 [0.857143,0.766667] precision 0.661905 [0.690476,0.633333] precision 0.745476 [0.755102,0.735849] precision 0.786402 [0.759259,0.8125] precision 0.755 [0.76,0.75] precision 0.735385 [0.730769,0.74] precision 0.753953 [0.8,0.709677] precision 0.668234 [0.681818,0.655172] predictive_accuracy 0.699029 predictive_accuracy 0.669903 predictive_accuracy 0.718447 predictive_accuracy 0.737864 predictive_accuracy 0.737864 predictive_accuracy 0.76699 predictive_accuracy 0.728155 predictive_accuracy 0.747573 predictive_accuracy 0.728155 predictive_accuracy 0.699029 predictive_accuracy 0.776699 predictive_accuracy 0.718447 predictive_accuracy 0.796117 predictive_accuracy 0.61165 predictive_accuracy 0.737864 predictive_accuracy 0.669903 predictive_accuracy 0.728155 predictive_accuracy 0.728155 predictive_accuracy 0.757282 predictive_accuracy 0.76699 predictive_accuracy 0.737864 predictive_accuracy 0.747573 predictive_accuracy 0.679612 predictive_accuracy 0.805825 predictive_accuracy 0.718447 predictive_accuracy 0.640777 predictive_accuracy 0.718447 predictive_accuracy 0.747573 predictive_accuracy 0.669903 predictive_accuracy 0.786408 predictive_accuracy 0.737864 predictive_accuracy 0.631068 predictive_accuracy 0.718447 predictive_accuracy 0.776699 predictive_accuracy 0.805825 predictive_accuracy 0.679612 predictive_accuracy 0.747573 predictive_accuracy 0.669903 predictive_accuracy 0.708738 predictive_accuracy 0.834951 predictive_accuracy 0.784314 predictive_accuracy 0.735294 predictive_accuracy 0.72549 predictive_accuracy 0.696078 predictive_accuracy 0.764706 predictive_accuracy 0.754902 predictive_accuracy 0.745098 predictive_accuracy 0.686275 predictive_accuracy 0.77451 predictive_accuracy 0.745098 predictive_accuracy 0.745098 predictive_accuracy 0.77451 predictive_accuracy 0.656863 predictive_accuracy 0.696078 predictive_accuracy 0.705882 predictive_accuracy 0.735294 predictive_accuracy 0.745098 predictive_accuracy 0.705882 predictive_accuracy 0.784314 predictive_accuracy 0.745098 predictive_accuracy 0.696078 predictive_accuracy 0.77451 predictive_accuracy 0.794118 predictive_accuracy 0.696078 predictive_accuracy 0.745098 predictive_accuracy 0.852941 predictive_accuracy 0.666667 predictive_accuracy 0.647059 predictive_accuracy 0.735294 predictive_accuracy 0.696078 predictive_accuracy 0.715686 predictive_accuracy 0.647059 predictive_accuracy 0.803922 predictive_accuracy 0.72549 predictive_accuracy 0.705882 predictive_accuracy 0.696078 predictive_accuracy 0.794118 predictive_accuracy 0.764706 predictive_accuracy 0.676471 predictive_accuracy 0.666667 predictive_accuracy 0.705882 predictive_accuracy 0.803922 predictive_accuracy 0.676471 predictive_accuracy 0.784314 predictive_accuracy 0.676471 predictive_accuracy 0.745098 predictive_accuracy 0.784314 predictive_accuracy 0.77451 predictive_accuracy 0.735294 predictive_accuracy 0.686275 predictive_accuracy 0.715686 predictive_accuracy 0.754902 predictive_accuracy 0.803922 predictive_accuracy 0.656863 predictive_accuracy 0.745098 predictive_accuracy 0.784314 predictive_accuracy 0.754902 predictive_accuracy 0.735294 predictive_accuracy 0.745098 predictive_accuracy 0.666667 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 prior_entropy 0.999975 recall 0.699029 [0.666667,0.730769] recall 0.669903 [0.588235,0.75] recall 0.718447 [0.647059,0.788462] recall 0.737864 [0.647059,0.826923] recall 0.737864 [0.784314,0.692308] recall 0.76699 [0.784314,0.75] recall 0.728155 [0.666667,0.788462] recall 0.747573 [0.823529,0.673077] recall 0.728155 [0.745098,0.711538] recall 0.699029 [0.803922,0.596154] recall 0.776699 [0.745098,0.807692] recall 0.718447 [0.666667,0.769231] recall 0.796117 [0.72549,0.865385] recall 0.61165 [0.627451,0.596154] recall 0.737864 [0.705882,0.769231] recall 0.669903 [0.647059,0.692308] recall 0.728155 [0.705882,0.75] recall 0.728155 [0.647059,0.807692] recall 0.757282 [0.745098,0.769231] recall 0.76699 [0.72549,0.807692] recall 0.737864 [0.666667,0.807692] recall 0.747573 [0.686275,0.807692] recall 0.679612 [0.705882,0.653846] recall 0.805825 [0.823529,0.788462] recall 0.718447 [0.686275,0.75] recall 0.640777 [0.627451,0.653846] recall 0.718447 [0.705882,0.730769] recall 0.747573 [0.745098,0.75] recall 0.669903 [0.666667,0.673077] recall 0.786408 [0.784314,0.788462] recall 0.737864 [0.72549,0.75] recall 0.631068 [0.647059,0.615385] recall 0.718447 [0.784314,0.653846] recall 0.776699 [0.745098,0.807692] recall 0.805825 [0.72549,0.884615] recall 0.679612 [0.666667,0.692308] recall 0.747573 [0.72549,0.769231] recall 0.669903 [0.647059,0.692308] recall 0.708738 [0.607843,0.807692] recall 0.834951 [0.823529,0.846154] recall 0.784314 [0.803922,0.764706] recall 0.735294 [0.666667,0.803922] recall 0.72549 [0.72549,0.72549] recall 0.696078 [0.66,0.730769] recall 0.764706 [0.74,0.788462] recall 0.754902 [0.705882,0.803922] recall 0.745098 [0.76,0.730769] recall 0.686275 [0.68,0.692308] recall 0.77451 [0.823529,0.72549] recall 0.745098 [0.745098,0.745098] recall 0.745098 [0.745098,0.745098] recall 0.77451 [0.72549,0.823529] recall 0.656863 [0.666667,0.647059] recall 0.696078 [0.705882,0.686275] recall 0.705882 [0.764706,0.647059] recall 0.735294 [0.647059,0.823529] recall 0.745098 [0.784314,0.705882] recall 0.705882 [0.607843,0.803922] recall 0.784314 [0.784314,0.784314] recall 0.745098 [0.72549,0.764706] recall 0.696078 [0.705882,0.686275] recall 0.77451 [0.803922,0.745098] recall 0.794118 [0.745098,0.843137] recall 0.696078 [0.686275,0.705882] recall 0.745098 [0.745098,0.745098] recall 0.852941 [0.843137,0.862745] recall 0.666667 [0.72549,0.607843] recall 0.647059 [0.568627,0.72549] recall 0.735294 [0.784314,0.686275] recall 0.696078 [0.72549,0.666667] recall 0.715686 [0.647059,0.784314] recall 0.647059 [0.647059,0.647059] recall 0.803922 [0.862745,0.745098] recall 0.72549 [0.627451,0.823529] recall 0.705882 [0.54902,0.862745] recall 0.696078 [0.72549,0.666667] recall 0.794118 [0.784314,0.803922] recall 0.764706 [0.72549,0.803922] recall 0.676471 [0.627451,0.72549] recall 0.666667 [0.588235,0.745098] recall 0.705882 [0.764706,0.647059] recall 0.803922 [0.803922,0.803922] recall 0.676471 [0.72549,0.627451] recall 0.784314 [0.764706,0.803922] recall 0.676471 [0.686275,0.666667] recall 0.745098 [0.803922,0.686275] recall 0.784314 [0.764706,0.803922] recall 0.77451 [0.764706,0.784314] recall 0.735294 [0.823529,0.647059] recall 0.686275 [0.745098,0.627451] recall 0.715686 [0.76,0.673077] recall 0.754902 [0.76,0.75] recall 0.803922 [0.72,0.884615] recall 0.656863 [0.568627,0.745098] recall 0.745098 [0.72549,0.764706] recall 0.784314 [0.82,0.75] recall 0.754902 [0.745098,0.764706] recall 0.735294 [0.745098,0.72549] recall 0.745098 [0.64,0.846154] recall 0.666667 [0.6,0.730769] relative_absolute_error 0.69022 relative_absolute_error 0.738316 relative_absolute_error 0.757817 relative_absolute_error 0.643624 relative_absolute_error 0.700519 relative_absolute_error 0.670302 relative_absolute_error 0.725435 relative_absolute_error 0.670415 relative_absolute_error 0.706529 relative_absolute_error 0.766607 relative_absolute_error 0.681774 relative_absolute_error 0.713486 relative_absolute_error 0.647484 relative_absolute_error 0.805985 relative_absolute_error 0.708996 relative_absolute_error 0.749228 relative_absolute_error 0.717558 relative_absolute_error 0.697137 relative_absolute_error 0.690967 relative_absolute_error 0.633396 relative_absolute_error 0.700039 relative_absolute_error 0.680977 relative_absolute_error 0.730309 relative_absolute_error 0.647207 relative_absolute_error 0.714174 relative_absolute_error 0.794 relative_absolute_error 0.717144 relative_absolute_error 0.688281 relative_absolute_error 0.742576 relative_absolute_error 0.685331 relative_absolute_error 0.70031 relative_absolute_error 0.773764 relative_absolute_error 0.700706 relative_absolute_error 0.645024 relative_absolute_error 0.638381 relative_absolute_error 0.725428 relative_absolute_error 0.652815 relative_absolute_error 0.782334 relative_absolute_error 0.741132 relative_absolute_error 0.627702 relative_absolute_error 0.626206 relative_absolute_error 0.69421 relative_absolute_error 0.692957 relative_absolute_error 0.745921 relative_absolute_error 0.672444 relative_absolute_error 0.67781 relative_absolute_error 0.686238 relative_absolute_error 0.709221 relative_absolute_error 0.70084 relative_absolute_error 0.670949 relative_absolute_error 0.727935 relative_absolute_error 0.658459 relative_absolute_error 0.779918 relative_absolute_error 0.714091 relative_absolute_error 0.702275 relative_absolute_error 0.709784 relative_absolute_error 0.716617 relative_absolute_error 0.727867 relative_absolute_error 0.64141 relative_absolute_error 0.7199 relative_absolute_error 0.724467 relative_absolute_error 0.662534 relative_absolute_error 0.672764 relative_absolute_error 0.744864 relative_absolute_error 0.69137 relative_absolute_error 0.606106 relative_absolute_error 0.777955 relative_absolute_error 0.782294 relative_absolute_error 0.697768 relative_absolute_error 0.74322 relative_absolute_error 0.689848 relative_absolute_error 0.815514 relative_absolute_error 0.654077 relative_absolute_error 0.709247 relative_absolute_error 0.735287 relative_absolute_error 0.809459 relative_absolute_error 0.67064 relative_absolute_error 0.667178 relative_absolute_error 0.764493 relative_absolute_error 0.73536 relative_absolute_error 0.735208 relative_absolute_error 0.625039 relative_absolute_error 0.767032 relative_absolute_error 0.650111 relative_absolute_error 0.75056 relative_absolute_error 0.690862 relative_absolute_error 0.665066 relative_absolute_error 0.665168 relative_absolute_error 0.707509 relative_absolute_error 0.743977 relative_absolute_error 0.698954 relative_absolute_error 0.728398 relative_absolute_error 0.652433 relative_absolute_error 0.736938 relative_absolute_error 0.677819 relative_absolute_error 0.689515 relative_absolute_error 0.739111 relative_absolute_error 0.70909 relative_absolute_error 0.691883 relative_absolute_error 0.751178 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.49998 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.500009 root_mean_prior_squared_error 0.499951 root_mean_prior_squared_error 0.499951 root_mean_squared_error 0.411879 root_mean_squared_error 0.448349 root_mean_squared_error 0.453083 root_mean_squared_error 0.4085 root_mean_squared_error 0.420293 root_mean_squared_error 0.392159 root_mean_squared_error 0.440007 root_mean_squared_error 0.404743 root_mean_squared_error 0.425695 root_mean_squared_error 0.458771 root_mean_squared_error 0.415491 root_mean_squared_error 0.42631 root_mean_squared_error 0.384824 root_mean_squared_error 0.48664 root_mean_squared_error 0.431122 root_mean_squared_error 0.460593 root_mean_squared_error 0.436916 root_mean_squared_error 0.420475 root_mean_squared_error 0.403966 root_mean_squared_error 0.377233 root_mean_squared_error 0.417793 root_mean_squared_error 0.404501 root_mean_squared_error 0.448196 root_mean_squared_error 0.3852 root_mean_squared_error 0.434115 root_mean_squared_error 0.482238 root_mean_squared_error 0.427386 root_mean_squared_error 0.41757 root_mean_squared_error 0.442529 root_mean_squared_error 0.404458 root_mean_squared_error 0.436542 root_mean_squared_error 0.464275 root_mean_squared_error 0.430816 root_mean_squared_error 0.393708 root_mean_squared_error 0.390368 root_mean_squared_error 0.442902 root_mean_squared_error 0.408542 root_mean_squared_error 0.469582 root_mean_squared_error 0.435322 root_mean_squared_error 0.368439 root_mean_squared_error 0.380383 root_mean_squared_error 0.411839 root_mean_squared_error 0.424334 root_mean_squared_error 0.453414 root_mean_squared_error 0.411325 root_mean_squared_error 0.410772 root_mean_squared_error 0.413375 root_mean_squared_error 0.434204 root_mean_squared_error 0.414896 root_mean_squared_error 0.400372 root_mean_squared_error 0.439968 root_mean_squared_error 0.400216 root_mean_squared_error 0.475345 root_mean_squared_error 0.430429 root_mean_squared_error 0.425696 root_mean_squared_error 0.42442 root_mean_squared_error 0.436275 root_mean_squared_error 0.430021 root_mean_squared_error 0.390266 root_mean_squared_error 0.438538 root_mean_squared_error 0.437925 root_mean_squared_error 0.396922 root_mean_squared_error 0.399121 root_mean_squared_error 0.441292 root_mean_squared_error 0.416579 root_mean_squared_error 0.357982 root_mean_squared_error 0.459946 root_mean_squared_error 0.457138 root_mean_squared_error 0.422543 root_mean_squared_error 0.441796 root_mean_squared_error 0.420732 root_mean_squared_error 0.481143 root_mean_squared_error 0.395399 root_mean_squared_error 0.433186 root_mean_squared_error 0.439398 root_mean_squared_error 0.482053 root_mean_squared_error 0.397542 root_mean_squared_error 0.407198 root_mean_squared_error 0.456904 root_mean_squared_error 0.441104 root_mean_squared_error 0.438618 root_mean_squared_error 0.369973 root_mean_squared_error 0.45331 root_mean_squared_error 0.398874 root_mean_squared_error 0.461021 root_mean_squared_error 0.413931 root_mean_squared_error 0.393238 root_mean_squared_error 0.40494 root_mean_squared_error 0.428917 root_mean_squared_error 0.448595 root_mean_squared_error 0.433074 root_mean_squared_error 0.437155 root_mean_squared_error 0.397214 root_mean_squared_error 0.450118 root_mean_squared_error 0.412745 root_mean_squared_error 0.410683 root_mean_squared_error 0.427469 root_mean_squared_error 0.430539 root_mean_squared_error 0.421131 root_mean_squared_error 0.459839 root_relative_squared_error 0.82379 root_relative_squared_error 0.896733 root_relative_squared_error 0.906202 root_relative_squared_error 0.817033 root_relative_squared_error 0.840619 root_relative_squared_error 0.784349 root_relative_squared_error 0.880049 root_relative_squared_error 0.809518 root_relative_squared_error 0.851423 root_relative_squared_error 0.917579 root_relative_squared_error 0.831015 root_relative_squared_error 0.852655 root_relative_squared_error 0.769678 root_relative_squared_error 0.973319 root_relative_squared_error 0.862278 root_relative_squared_error 0.921222 root_relative_squared_error 0.873867 root_relative_squared_error 0.840984 root_relative_squared_error 0.807964 root_relative_squared_error 0.754496 root_relative_squared_error 0.835618 root_relative_squared_error 0.809034 root_relative_squared_error 0.896427 root_relative_squared_error 0.770432 root_relative_squared_error 0.868265 root_relative_squared_error 0.964513 root_relative_squared_error 0.854806 root_relative_squared_error 0.835174 root_relative_squared_error 0.885094 root_relative_squared_error 0.808949 root_relative_squared_error 0.873118 root_relative_squared_error 0.928587 root_relative_squared_error 0.861666 root_relative_squared_error 0.787448 root_relative_squared_error 0.780766 root_relative_squared_error 0.885838 root_relative_squared_error 0.817116 root_relative_squared_error 0.9392 root_relative_squared_error 0.870678 root_relative_squared_error 0.736908 root_relative_squared_error 0.760752 root_relative_squared_error 0.823664 root_relative_squared_error 0.848654 root_relative_squared_error 0.906917 root_relative_squared_error 0.822729 root_relative_squared_error 0.821529 root_relative_squared_error 0.82683 root_relative_squared_error 0.868493 root_relative_squared_error 0.829777 root_relative_squared_error 0.80073 root_relative_squared_error 0.87992 root_relative_squared_error 0.800418 root_relative_squared_error 0.950675 root_relative_squared_error 0.860843 root_relative_squared_error 0.851378 root_relative_squared_error 0.848825 root_relative_squared_error 0.872535 root_relative_squared_error 0.860028 root_relative_squared_error 0.780519 root_relative_squared_error 0.877061 root_relative_squared_error 0.875835 root_relative_squared_error 0.793831 root_relative_squared_error 0.798229 root_relative_squared_error 0.882568 root_relative_squared_error 0.833143 root_relative_squared_error 0.715953 root_relative_squared_error 0.919876 root_relative_squared_error 0.91426 root_relative_squared_error 0.845072 root_relative_squared_error 0.883577 root_relative_squared_error 0.84145 root_relative_squared_error 0.962269 root_relative_squared_error 0.790785 root_relative_squared_error 0.866357 root_relative_squared_error 0.878781 root_relative_squared_error 0.964089 root_relative_squared_error 0.79507 root_relative_squared_error 0.814383 root_relative_squared_error 0.913792 root_relative_squared_error 0.882193 root_relative_squared_error 0.877222 root_relative_squared_error 0.739933 root_relative_squared_error 0.906604 root_relative_squared_error 0.797735 root_relative_squared_error 0.922027 root_relative_squared_error 0.827847 root_relative_squared_error 0.786462 root_relative_squared_error 0.809866 root_relative_squared_error 0.85782 root_relative_squared_error 0.897174 root_relative_squared_error 0.866232 root_relative_squared_error 0.874396 root_relative_squared_error 0.794505 root_relative_squared_error 0.90022 root_relative_squared_error 0.825476 root_relative_squared_error 0.821447 root_relative_squared_error 0.854923 root_relative_squared_error 0.861062 root_relative_squared_error 0.842344 root_relative_squared_error 0.919767 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 40 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 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