469004 2 Joaquin Vanschoren 4312 Supervised Classification predictive_accuracy 1165 weka.A1DE(4) 1918 weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE -- -F 1 -M 1.0 F 1 1165 M 1.0 1165 weka weka_3.7.12 741 rmftsa_sleepdata https://www.openml.org/data/download/53275/rmftsa_sleepdata.arff -1 1650268 description https://api.openml.org/data/download/1650268/weka_generated_run3513212640505543506.xml -1 1650271 model_readable https://api.openml.org/data/download/1650271/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE3011976567065458001.model -1 1650270 model_serialized https://api.openml.org/data/download/1650270/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE5511467382273196597.model -1 1650269 predictions https://api.openml.org/data/download/1650269/weka_generated_predictions5350062363374117201.arff area_under_roc_curve 0.770777 [0.770777,0.770777] average_cost 0 f_measure 0.73097 [0.708364,0.753312] kappa 0.464925 kb_relative_information_score 3009.411053 mean_absolute_error 0.368211 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 0.738225 [0.773923,0.702944] predictive_accuracy 0.732715 prior_entropy 0.999975 recall 0.732715 [0.653045,0.811456] relative_absolute_error 0.736447 root_mean_prior_squared_error 0.499991 root_mean_squared_error 0.432196 root_relative_squared_error 0.864407 scimark_benchmark 941.667529 [555.4906311231572, 1011.2594872886406, 475.31735608978465, 907.3866581455474, 1758.8835103978397] total_cost 0 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 area_under_roc_curve 0.82994 [0.82994,0.82994] area_under_roc_curve 0.74359 [0.74359,0.74359] area_under_roc_curve 0.754148 [0.754148,0.754148] area_under_roc_curve 0.772247 [0.772247,0.772247] area_under_roc_curve 0.808824 [0.808824,0.808824] area_under_roc_curve 0.87764 [0.87764,0.87764] area_under_roc_curve 0.780732 [0.780732,0.780732] area_under_roc_curve 0.852187 [0.852187,0.852187] area_under_roc_curve 0.792798 [0.792798,0.792798] area_under_roc_curve 0.726433 [0.726433,0.726433] area_under_roc_curve 0.784314 [0.784314,0.784314] area_under_roc_curve 0.793552 [0.793552,0.793552] area_under_roc_curve 0.812217 [0.812217,0.812217] area_under_roc_curve 0.634804 [0.634804,0.634804] area_under_roc_curve 0.804676 [0.804676,0.804676] area_under_roc_curve 0.754713 [0.754713,0.754713] area_under_roc_curve 0.709653 [0.709653,0.709653] area_under_roc_curve 0.784502 [0.784502,0.784502] area_under_roc_curve 0.701169 [0.701169,0.701169] area_under_roc_curve 0.881787 [0.881787,0.881787] area_under_roc_curve 0.790158 [0.790158,0.790158] area_under_roc_curve 0.756222 [0.756222,0.756222] area_under_roc_curve 0.776584 [0.776584,0.776584] area_under_roc_curve 0.872549 [0.872549,0.872549] area_under_roc_curve 0.790913 [0.790913,0.790913] area_under_roc_curve 0.704374 [0.704374,0.704374] area_under_roc_curve 0.811463 [0.811463,0.811463] area_under_roc_curve 0.806184 [0.806184,0.806184] area_under_roc_curve 0.699472 [0.699472,0.699472] area_under_roc_curve 0.8273 [0.8273,0.8273] area_under_roc_curve 0.761501 [0.761501,0.761501] area_under_roc_curve 0.719834 [0.719834,0.719834] area_under_roc_curve 0.747926 [0.747926,0.747926] area_under_roc_curve 0.874246 [0.874246,0.874246] area_under_roc_curve 0.805618 [0.805618,0.805618] area_under_roc_curve 0.771116 [0.771116,0.771116] area_under_roc_curve 0.777149 [0.777149,0.777149] area_under_roc_curve 0.751131 [0.751131,0.751131] area_under_roc_curve 0.761124 [0.761124,0.761124] area_under_roc_curve 0.866139 [0.866139,0.866139] area_under_roc_curve 0.782391 [0.782391,0.782391] area_under_roc_curve 0.805459 [0.805459,0.805459] area_under_roc_curve 0.767397 [0.767397,0.767397] area_under_roc_curve 0.758462 [0.758462,0.758462] area_under_roc_curve 0.778269 [0.778269,0.778269] area_under_roc_curve 0.778931 [0.778931,0.778931] area_under_roc_curve 0.788077 [0.788077,0.788077] area_under_roc_curve 0.760385 [0.760385,0.760385] area_under_roc_curve 0.812188 [0.812188,0.812188] area_under_roc_curve 0.766628 [0.766628,0.766628] area_under_roc_curve 0.680507 [0.680507,0.680507] area_under_roc_curve 0.809881 [0.809881,0.809881] area_under_roc_curve 0.701845 [0.701845,0.701845] area_under_roc_curve 0.789889 [0.789889,0.789889] area_under_roc_curve 0.817762 [0.817762,0.817762] area_under_roc_curve 0.715302 [0.715302,0.715302] area_under_roc_curve 0.738562 [0.738562,0.738562] area_under_roc_curve 0.792772 [0.792772,0.792772] area_under_roc_curve 0.839293 [0.839293,0.839293] area_under_roc_curve 0.789889 [0.789889,0.789889] area_under_roc_curve 0.767397 [0.767397,0.767397] area_under_roc_curve 0.801038 [0.801038,0.801038] area_under_roc_curve 0.82526 [0.82526,0.82526] area_under_roc_curve 0.786813 [0.786813,0.786813] area_under_roc_curve 0.810842 [0.810842,0.810842] area_under_roc_curve 0.887928 [0.887928,0.887928] area_under_roc_curve 0.771242 [0.771242,0.771242] area_under_roc_curve 0.727413 [0.727413,0.727413] area_under_roc_curve 0.799116 [0.799116,0.799116] area_under_roc_curve 0.749904 [0.749904,0.749904] area_under_roc_curve 0.793156 [0.793156,0.793156] area_under_roc_curve 0.641292 [0.641292,0.641292] area_under_roc_curve 0.83045 [0.83045,0.83045] area_under_roc_curve 0.749712 [0.749712,0.749712] area_under_roc_curve 0.771819 [0.771819,0.771819] area_under_roc_curve 0.698001 [0.698001,0.698001] area_under_roc_curve 0.845636 [0.845636,0.845636] area_under_roc_curve 0.806421 [0.806421,0.806421] area_under_roc_curve 0.707036 [0.707036,0.707036] area_under_roc_curve 0.71088 [0.71088,0.71088] area_under_roc_curve 0.74875 [0.74875,0.74875] area_under_roc_curve 0.84679 [0.84679,0.84679] area_under_roc_curve 0.637255 [0.637255,0.637255] area_under_roc_curve 0.833718 [0.833718,0.833718] area_under_roc_curve 0.732795 [0.732795,0.732795] area_under_roc_curve 0.816801 [0.816801,0.816801] area_under_roc_curve 0.836794 [0.836794,0.836794] area_under_roc_curve 0.785659 [0.785659,0.785659] area_under_roc_curve 0.733564 [0.733564,0.733564] area_under_roc_curve 0.749327 [0.749327,0.749327] area_under_roc_curve 0.726731 [0.726731,0.726731] area_under_roc_curve 0.798462 [0.798462,0.798462] area_under_roc_curve 0.86 [0.86,0.86] area_under_roc_curve 0.737985 [0.737985,0.737985] area_under_roc_curve 0.763168 [0.763168,0.763168] area_under_roc_curve 0.739615 [0.739615,0.739615] area_under_roc_curve 0.749519 [0.749519,0.749519] area_under_roc_curve 0.813341 [0.813341,0.813341] area_under_roc_curve 0.819038 [0.819038,0.819038] area_under_roc_curve 0.705192 [0.705192,0.705192] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.784947 [0.765957,0.803571] f_measure 0.669903 [0.666667,0.673077] f_measure 0.687826 [0.626506,0.747967] f_measure 0.713526 [0.674157,0.752137] f_measure 0.756593 [0.742268,0.770642] f_measure 0.785558 [0.770833,0.8] f_measure 0.766727 [0.773585,0.76] f_measure 0.774362 [0.79646,0.752688] f_measure 0.718394 [0.712871,0.72381] f_measure 0.698175 [0.680412,0.715596] f_measure 0.757282 [0.757282,0.757282] f_measure 0.72099 [0.674419,0.766667] f_measure 0.764546 [0.73913,0.789474] f_measure 0.616583 [0.571429,0.66087] f_measure 0.784168 [0.76087,0.807018] f_measure 0.689262 [0.692308,0.686275] f_measure 0.71007 [0.658824,0.760331] f_measure 0.747096 [0.734694,0.759259] f_measure 0.759214 [0.714286,0.803279] f_measure 0.813207 [0.791209,0.834783] f_measure 0.751655 [0.712644,0.789916] f_measure 0.735619 [0.709677,0.761062] f_measure 0.68844 [0.703704,0.673469] f_measure 0.821709 [0.795455,0.847458] f_measure 0.727848 [0.735849,0.72] f_measure 0.684678 [0.644444,0.724138] f_measure 0.686062 [0.652174,0.719298] f_measure 0.75422 [0.725275,0.782609] f_measure 0.684678 [0.644444,0.724138] f_measure 0.755203 [0.731183,0.778761] f_measure 0.726296 [0.702128,0.75] f_measure 0.67791 [0.652632,0.702703] f_measure 0.724093 [0.688889,0.758621] f_measure 0.805605 [0.811321,0.8] f_measure 0.772796 [0.741573,0.803419] f_measure 0.688085 [0.666667,0.709091] f_measure 0.744925 [0.717391,0.77193] f_measure 0.65839 [0.631579,0.684685] f_measure 0.690075 [0.635294,0.743802] f_measure 0.811258 [0.781609,0.840336] f_measure 0.754312 [0.742268,0.766355] f_measure 0.720219 [0.681818,0.758621] f_measure 0.714341 [0.694737,0.733945] f_measure 0.724855 [0.708333,0.740741] f_measure 0.742117 [0.711111,0.77193] f_measure 0.747899 [0.705882,0.789916] f_measure 0.772339 [0.747253,0.79646] f_measure 0.732746 [0.703297,0.761062] f_measure 0.745 [0.74,0.75] f_measure 0.742624 [0.717391,0.767857] f_measure 0.701754 [0.666667,0.736842] f_measure 0.762422 [0.73913,0.785714] f_measure 0.681871 [0.644444,0.719298] f_measure 0.734042 [0.752294,0.715789] f_measure 0.763889 [0.777778,0.75] f_measure 0.664841 [0.60241,0.727273] f_measure 0.692502 [0.659341,0.725664] f_measure 0.68323 [0.652174,0.714286] f_measure 0.784231 [0.78,0.788462] f_measure 0.730923 [0.696629,0.765217] f_measure 0.713455 [0.688172,0.738739] f_measure 0.781287 [0.755556,0.807018] f_measure 0.830581 [0.808989,0.852174] f_measure 0.712341 [0.681319,0.743363] f_measure 0.723791 [0.702128,0.745455] f_measure 0.820141 [0.795455,0.844828] f_measure 0.764343 [0.755102,0.773585] f_measure 0.680251 [0.636364,0.724138] f_measure 0.77274 [0.752688,0.792793] f_measure 0.700235 [0.659091,0.741379] f_measure 0.709402 [0.666667,0.752137] f_measure 0.620298 [0.568182,0.672414] f_measure 0.793939 [0.8,0.787879] f_measure 0.676439 [0.679612,0.673267] f_measure 0.68936 [0.643678,0.735043] f_measure 0.646515 [0.632653,0.660377] f_measure 0.784231 [0.788462,0.78] f_measure 0.771856 [0.747253,0.79646] f_measure 0.638155 [0.581395,0.694915] f_measure 0.660266 [0.613636,0.706897] f_measure 0.676439 [0.679612,0.673267] f_measure 0.812844 [0.8,0.825688] f_measure 0.596137 [0.568421,0.623853] f_measure 0.822437 [0.836364,0.808511] f_measure 0.675691 [0.659794,0.691589] f_measure 0.783982 [0.77551,0.792453] f_measure 0.78222 [0.76087,0.803571] f_measure 0.763889 [0.75,0.777778] f_measure 0.754312 [0.742268,0.766355] f_measure 0.685185 [0.703704,0.666667] f_measure 0.71024 [0.666667,0.752137] f_measure 0.715604 [0.718447,0.712871] f_measure 0.790174 [0.758621,0.820513] f_measure 0.712341 [0.681319,0.743363] f_measure 0.729443 [0.689655,0.769231] f_measure 0.723359 [0.695652,0.75] f_measure 0.672664 [0.637363,0.707965] f_measure 0.752979 [0.731183,0.774775] f_measure 0.757983 [0.714286,0.8] f_measure 0.662768 [0.622222,0.701754] kappa 0.57213 kappa 0.339744 kappa 0.395837 kappa 0.435456 kappa 0.514059 kappa 0.572291 kappa 0.534288 kappa 0.55428 kappa 0.436734 kappa 0.397433 kappa 0.514609 kappa 0.454614 kappa 0.533056 kappa 0.241073 kappa 0.571968 kappa 0.378816 kappa 0.435029 kappa 0.494717 kappa 0.53235 kappa 0.630266 kappa 0.51314 kappa 0.474788 kappa 0.379284 kappa 0.649527 kappa 0.456669 kappa 0.377173 kappa 0.377408 kappa 0.513508 kappa 0.377173 kappa 0.513692 kappa 0.455438 kappa 0.358316 kappa 0.455026 kappa 0.611907 kappa 0.552259 kappa 0.377878 kappa 0.494144 kappa 0.319426 kappa 0.396066 kappa 0.629987 kappa 0.509804 kappa 0.45098 kappa 0.431373 kappa 0.449923 kappa 0.488031 kappa 0.509804 kappa 0.547279 kappa 0.468545 kappa 0.490196 kappa 0.490196 kappa 0.411765 kappa 0.529412 kappa 0.372549 kappa 0.470588 kappa 0.529412 kappa 0.352941 kappa 0.392157 kappa 0.372549 kappa 0.568627 kappa 0.470588 kappa 0.431373 kappa 0.568627 kappa 0.666667 kappa 0.431373 kappa 0.45098 kappa 0.647059 kappa 0.529412 kappa 0.372549 kappa 0.54902 kappa 0.411765 kappa 0.431373 kappa 0.254902 kappa 0.588235 kappa 0.352941 kappa 0.392157 kappa 0.294118 kappa 0.568627 kappa 0.54902 kappa 0.294118 kappa 0.333333 kappa 0.352941 kappa 0.627451 kappa 0.196078 kappa 0.647059 kappa 0.352941 kappa 0.568627 kappa 0.568627 kappa 0.529412 kappa 0.509804 kappa 0.372549 kappa 0.428295 kappa 0.431809 kappa 0.586007 kappa 0.431373 kappa 0.470588 kappa 0.449074 kappa 0.352941 kappa 0.509804 kappa 0.526316 kappa 0.330502 kb_relative_information_score 35.663707 kb_relative_information_score 27.169572 kb_relative_information_score 26.929028 kb_relative_information_score 31.870776 kb_relative_information_score 33.091314 kb_relative_information_score 39.74252 kb_relative_information_score 32.10154 kb_relative_information_score 38.151161 kb_relative_information_score 32.953728 kb_relative_information_score 24.474184 kb_relative_information_score 31.530865 kb_relative_information_score 29.566384 kb_relative_information_score 32.502057 kb_relative_information_score 16.485247 kb_relative_information_score 33.881494 kb_relative_information_score 30.128734 kb_relative_information_score 25.387133 kb_relative_information_score 31.909106 kb_relative_information_score 28.46233 kb_relative_information_score 41.085781 kb_relative_information_score 33.230857 kb_relative_information_score 27.497012 kb_relative_information_score 30.675736 kb_relative_information_score 36.945583 kb_relative_information_score 31.407487 kb_relative_information_score 24.596439 kb_relative_information_score 32.509158 kb_relative_information_score 33.600291 kb_relative_information_score 23.406394 kb_relative_information_score 35.195677 kb_relative_information_score 31.864601 kb_relative_information_score 25.015468 kb_relative_information_score 29.198655 kb_relative_information_score 40.266834 kb_relative_information_score 35.773203 kb_relative_information_score 28.338189 kb_relative_information_score 30.665597 kb_relative_information_score 27.52255 kb_relative_information_score 25.379439 kb_relative_information_score 36.435504 kb_relative_information_score 31.632254 kb_relative_information_score 31.092149 kb_relative_information_score 26.991133 kb_relative_information_score 28.182111 kb_relative_information_score 31.067312 kb_relative_information_score 30.730597 kb_relative_information_score 34.383138 kb_relative_information_score 30.371997 kb_relative_information_score 32.083848 kb_relative_information_score 27.785522 kb_relative_information_score 21.95557 kb_relative_information_score 35.807656 kb_relative_information_score 23.896247 kb_relative_information_score 32.315839 kb_relative_information_score 33.502146 kb_relative_information_score 22.316615 kb_relative_information_score 24.916453 kb_relative_information_score 27.472857 kb_relative_information_score 38.870016 kb_relative_information_score 30.638227 kb_relative_information_score 27.921496 kb_relative_information_score 31.747898 kb_relative_information_score 35.050721 kb_relative_information_score 30.186371 kb_relative_information_score 30.357322 kb_relative_information_score 41.262093 kb_relative_information_score 27.851735 kb_relative_information_score 23.88774 kb_relative_information_score 35.151192 kb_relative_information_score 27.484304 kb_relative_information_score 28.14898 kb_relative_information_score 17.049583 kb_relative_information_score 38.201363 kb_relative_information_score 26.809832 kb_relative_information_score 29.207151 kb_relative_information_score 19.871168 kb_relative_information_score 37.63111 kb_relative_information_score 34.780454 kb_relative_information_score 22.091192 kb_relative_information_score 21.008754 kb_relative_information_score 25.090801 kb_relative_information_score 35.866154 kb_relative_information_score 14.553238 kb_relative_information_score 36.438132 kb_relative_information_score 25.488677 kb_relative_information_score 32.891907 kb_relative_information_score 34.884267 kb_relative_information_score 34.21736 kb_relative_information_score 28.654128 kb_relative_information_score 27.40415 kb_relative_information_score 25.840711 kb_relative_information_score 32.574438 kb_relative_information_score 36.544031 kb_relative_information_score 26.624816 kb_relative_information_score 29.002602 kb_relative_information_score 26.920242 kb_relative_information_score 24.424505 kb_relative_information_score 30.007542 kb_relative_information_score 33.936887 kb_relative_information_score 23.722984 mean_absolute_error 0.345383 mean_absolute_error 0.378648 mean_absolute_error 0.381201 mean_absolute_error 0.357241 mean_absolute_error 0.35613 mean_absolute_error 0.328447 mean_absolute_error 0.360388 mean_absolute_error 0.333235 mean_absolute_error 0.356106 mean_absolute_error 0.393559 mean_absolute_error 0.363394 mean_absolute_error 0.370584 mean_absolute_error 0.358857 mean_absolute_error 0.428422 mean_absolute_error 0.353153 mean_absolute_error 0.365944 mean_absolute_error 0.392294 mean_absolute_error 0.361977 mean_absolute_error 0.380518 mean_absolute_error 0.320696 mean_absolute_error 0.355109 mean_absolute_error 0.384417 mean_absolute_error 0.363495 mean_absolute_error 0.340272 mean_absolute_error 0.361097 mean_absolute_error 0.391664 mean_absolute_error 0.356534 mean_absolute_error 0.353599 mean_absolute_error 0.400662 mean_absolute_error 0.344983 mean_absolute_error 0.357953 mean_absolute_error 0.389809 mean_absolute_error 0.374841 mean_absolute_error 0.325927 mean_absolute_error 0.343608 mean_absolute_error 0.373876 mean_absolute_error 0.369353 mean_absolute_error 0.377967 mean_absolute_error 0.39164 mean_absolute_error 0.34643 mean_absolute_error 0.36018 mean_absolute_error 0.361435 mean_absolute_error 0.381014 mean_absolute_error 0.375574 mean_absolute_error 0.361551 mean_absolute_error 0.367718 mean_absolute_error 0.348696 mean_absolute_error 0.363529 mean_absolute_error 0.358809 mean_absolute_error 0.38192 mean_absolute_error 0.406169 mean_absolute_error 0.340705 mean_absolute_error 0.393789 mean_absolute_error 0.356345 mean_absolute_error 0.354282 mean_absolute_error 0.403708 mean_absolute_error 0.391899 mean_absolute_error 0.377227 mean_absolute_error 0.329375 mean_absolute_error 0.36468 mean_absolute_error 0.376238 mean_absolute_error 0.36462 mean_absolute_error 0.347454 mean_absolute_error 0.364854 mean_absolute_error 0.365108 mean_absolute_error 0.318319 mean_absolute_error 0.379727 mean_absolute_error 0.393753 mean_absolute_error 0.344762 mean_absolute_error 0.377873 mean_absolute_error 0.378266 mean_absolute_error 0.42325 mean_absolute_error 0.333606 mean_absolute_error 0.381148 mean_absolute_error 0.370759 mean_absolute_error 0.411231 mean_absolute_error 0.335403 mean_absolute_error 0.34696 mean_absolute_error 0.400908 mean_absolute_error 0.409403 mean_absolute_error 0.38894 mean_absolute_error 0.342746 mean_absolute_error 0.436415 mean_absolute_error 0.341048 mean_absolute_error 0.385489 mean_absolute_error 0.355396 mean_absolute_error 0.347597 mean_absolute_error 0.348489 mean_absolute_error 0.376791 mean_absolute_error 0.378334 mean_absolute_error 0.388701 mean_absolute_error 0.356741 mean_absolute_error 0.33934 mean_absolute_error 0.380949 mean_absolute_error 0.375115 mean_absolute_error 0.383879 mean_absolute_error 0.391423 mean_absolute_error 0.371504 mean_absolute_error 0.348455 mean_absolute_error 0.39345 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 0.793181 [0.837209,0.75] precision 0.669903 [0.666667,0.673077] precision 0.729395 [0.8125,0.647887] precision 0.732652 [0.789474,0.676923] precision 0.759503 [0.782609,0.736842] precision 0.790113 [0.822222,0.758621] precision 0.768785 [0.745455,0.791667] precision 0.790353 [0.725806,0.853659] precision 0.718476 [0.72,0.716981] precision 0.70064 [0.717391,0.684211] precision 0.757424 [0.75,0.764706] precision 0.751783 [0.828571,0.676471] precision 0.777035 [0.829268,0.725806] precision 0.62636 [0.65,0.603175] precision 0.797255 [0.853659,0.741935] precision 0.689723 [0.679245,0.7] precision 0.744337 [0.823529,0.666667] precision 0.748886 [0.765957,0.732143] precision 0.80353 [0.909091,0.7] precision 0.830282 [0.9,0.761905] precision 0.780527 [0.861111,0.701493] precision 0.744924 [0.785714,0.704918] precision 0.692275 [0.666667,0.717391] precision 0.850846 [0.945946,0.757576] precision 0.729744 [0.709091,0.75] precision 0.699496 [0.74359,0.65625] precision 0.696157 [0.731707,0.66129] precision 0.769105 [0.825,0.714286] precision 0.699496 [0.74359,0.65625] precision 0.764989 [0.809524,0.721311] precision 0.733394 [0.767442,0.7] precision 0.68257 [0.704545,0.661017] precision 0.740665 [0.794872,0.6875] precision 0.807826 [0.781818,0.833333] precision 0.795043 [0.868421,0.723077] precision 0.691575 [0.711111,0.672414] precision 0.756816 [0.804878,0.709677] precision 0.66276 [0.681818,0.644068] precision 0.722457 [0.794118,0.652174] precision 0.844395 [0.944444,0.746269] precision 0.757376 [0.782609,0.732143] precision 0.743867 [0.810811,0.676923] precision 0.719828 [0.75,0.689655] precision 0.726464 [0.73913,0.714286] precision 0.753953 [0.8,0.709677] precision 0.786765 [0.882353,0.691176] precision 0.782589 [0.829268,0.737705] precision 0.741962 [0.780488,0.704918] precision 0.745476 [0.755102,0.735849] precision 0.754898 [0.804878,0.704918] precision 0.717949 [0.769231,0.666667] precision 0.77529 [0.829268,0.721311] precision 0.697192 [0.74359,0.650794] precision 0.739812 [0.706897,0.772727] precision 0.768421 [0.736842,0.8] precision 0.704911 [0.78125,0.628571] precision 0.705645 [0.75,0.66129] precision 0.693723 [0.731707,0.655738] precision 0.784752 [0.795918,0.773585] precision 0.751645 [0.815789,0.6875] precision 0.722619 [0.761905,0.683333] precision 0.800977 [0.871795,0.730159] precision 0.856497 [0.947368,0.765625] precision 0.72621 [0.775,0.677419] precision 0.731179 [0.767442,0.694915] precision 0.849896 [0.945946,0.753846] precision 0.766344 [0.787234,0.745455] precision 0.701455 [0.756757,0.646154] precision 0.783333 [0.833333,0.733333] precision 0.722661 [0.783784,0.661538] precision 0.736111 [0.805556,0.666667] precision 0.637838 [0.675676,0.6] precision 0.795139 [0.777778,0.8125] precision 0.676538 [0.673077,0.68] precision 0.714646 [0.777778,0.651515] precision 0.647969 [0.659574,0.636364] precision 0.784752 [0.773585,0.795918] precision 0.787903 [0.85,0.725806] precision 0.663113 [0.714286,0.61194] precision 0.680249 [0.72973,0.630769] precision 0.676538 [0.673077,0.68] precision 0.819749 [0.863636,0.775862] precision 0.599922 [0.613636,0.586207] precision 0.831691 [0.779661,0.883721] precision 0.678183 [0.695652,0.660714] precision 0.786074 [0.808511,0.763636] precision 0.795682 [0.853659,0.737705] precision 0.768421 [0.8,0.736842] precision 0.757376 [0.782609,0.732143] precision 0.688889 [0.666667,0.711111] precision 0.729306 [0.783784,0.676923] precision 0.716762 [0.698113,0.734694] precision 0.813672 [0.891892,0.738462] precision 0.72621 [0.775,0.677419] precision 0.757576 [0.833333,0.681818] precision 0.730345 [0.761905,0.7] precision 0.685081 [0.725,0.645161] precision 0.763095 [0.809524,0.716667] precision 0.792388 [0.882353,0.705882] precision 0.672043 [0.7,0.645161] predictive_accuracy 0.786408 predictive_accuracy 0.669903 predictive_accuracy 0.699029 predictive_accuracy 0.718447 predictive_accuracy 0.757282 predictive_accuracy 0.786408 predictive_accuracy 0.76699 predictive_accuracy 0.776699 predictive_accuracy 0.718447 predictive_accuracy 0.699029 predictive_accuracy 0.757282 predictive_accuracy 0.728155 predictive_accuracy 0.76699 predictive_accuracy 0.621359 predictive_accuracy 0.786408 predictive_accuracy 0.68932 predictive_accuracy 0.718447 predictive_accuracy 0.747573 predictive_accuracy 0.76699 predictive_accuracy 0.815534 predictive_accuracy 0.757282 predictive_accuracy 0.737864 predictive_accuracy 0.68932 predictive_accuracy 0.825243 predictive_accuracy 0.728155 predictive_accuracy 0.68932 predictive_accuracy 0.68932 predictive_accuracy 0.757282 predictive_accuracy 0.68932 predictive_accuracy 0.757282 predictive_accuracy 0.728155 predictive_accuracy 0.679612 predictive_accuracy 0.728155 predictive_accuracy 0.805825 predictive_accuracy 0.776699 predictive_accuracy 0.68932 predictive_accuracy 0.747573 predictive_accuracy 0.660194 predictive_accuracy 0.699029 predictive_accuracy 0.815534 predictive_accuracy 0.754902 predictive_accuracy 0.72549 predictive_accuracy 0.715686 predictive_accuracy 0.72549 predictive_accuracy 0.745098 predictive_accuracy 0.754902 predictive_accuracy 0.77451 predictive_accuracy 0.735294 predictive_accuracy 0.745098 predictive_accuracy 0.745098 predictive_accuracy 0.705882 predictive_accuracy 0.764706 predictive_accuracy 0.686275 predictive_accuracy 0.735294 predictive_accuracy 0.764706 predictive_accuracy 0.676471 predictive_accuracy 0.696078 predictive_accuracy 0.686275 predictive_accuracy 0.784314 predictive_accuracy 0.735294 predictive_accuracy 0.715686 predictive_accuracy 0.784314 predictive_accuracy 0.833333 predictive_accuracy 0.715686 predictive_accuracy 0.72549 predictive_accuracy 0.823529 predictive_accuracy 0.764706 predictive_accuracy 0.686275 predictive_accuracy 0.77451 predictive_accuracy 0.705882 predictive_accuracy 0.715686 predictive_accuracy 0.627451 predictive_accuracy 0.794118 predictive_accuracy 0.676471 predictive_accuracy 0.696078 predictive_accuracy 0.647059 predictive_accuracy 0.784314 predictive_accuracy 0.77451 predictive_accuracy 0.647059 predictive_accuracy 0.666667 predictive_accuracy 0.676471 predictive_accuracy 0.813725 predictive_accuracy 0.598039 predictive_accuracy 0.823529 predictive_accuracy 0.676471 predictive_accuracy 0.784314 predictive_accuracy 0.784314 predictive_accuracy 0.764706 predictive_accuracy 0.754902 predictive_accuracy 0.686275 predictive_accuracy 0.715686 predictive_accuracy 0.715686 predictive_accuracy 0.794118 predictive_accuracy 0.715686 predictive_accuracy 0.735294 predictive_accuracy 0.72549 predictive_accuracy 0.676471 predictive_accuracy 0.754902 predictive_accuracy 0.764706 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 0.786408 [0.705882,0.865385] recall 0.669903 [0.666667,0.673077] recall 0.699029 [0.509804,0.884615] recall 0.718447 [0.588235,0.846154] recall 0.757282 [0.705882,0.807692] recall 0.786408 [0.72549,0.846154] recall 0.76699 [0.803922,0.730769] recall 0.776699 [0.882353,0.673077] recall 0.718447 [0.705882,0.730769] recall 0.699029 [0.647059,0.75] recall 0.757282 [0.764706,0.75] recall 0.728155 [0.568627,0.884615] recall 0.76699 [0.666667,0.865385] recall 0.621359 [0.509804,0.730769] recall 0.786408 [0.686275,0.884615] recall 0.68932 [0.705882,0.673077] recall 0.718447 [0.54902,0.884615] recall 0.747573 [0.705882,0.788462] recall 0.76699 [0.588235,0.942308] recall 0.815534 [0.705882,0.923077] recall 0.757282 [0.607843,0.903846] recall 0.737864 [0.647059,0.826923] recall 0.68932 [0.745098,0.634615] recall 0.825243 [0.686275,0.961538] recall 0.728155 [0.764706,0.692308] recall 0.68932 [0.568627,0.807692] recall 0.68932 [0.588235,0.788462] recall 0.757282 [0.647059,0.865385] recall 0.68932 [0.568627,0.807692] recall 0.757282 [0.666667,0.846154] recall 0.728155 [0.647059,0.807692] recall 0.679612 [0.607843,0.75] recall 0.728155 [0.607843,0.846154] recall 0.805825 [0.843137,0.769231] recall 0.776699 [0.647059,0.903846] recall 0.68932 [0.627451,0.75] recall 0.747573 [0.647059,0.846154] recall 0.660194 [0.588235,0.730769] recall 0.699029 [0.529412,0.865385] recall 0.815534 [0.666667,0.961538] recall 0.754902 [0.705882,0.803922] recall 0.72549 [0.588235,0.862745] recall 0.715686 [0.647059,0.784314] recall 0.72549 [0.68,0.769231] recall 0.745098 [0.64,0.846154] recall 0.754902 [0.588235,0.921569] recall 0.77451 [0.68,0.865385] recall 0.735294 [0.64,0.826923] recall 0.745098 [0.72549,0.764706] recall 0.745098 [0.647059,0.843137] recall 0.705882 [0.588235,0.823529] recall 0.764706 [0.666667,0.862745] recall 0.686275 [0.568627,0.803922] recall 0.735294 [0.803922,0.666667] recall 0.764706 [0.823529,0.705882] recall 0.676471 [0.490196,0.862745] recall 0.696078 [0.588235,0.803922] recall 0.686275 [0.588235,0.784314] recall 0.784314 [0.764706,0.803922] recall 0.735294 [0.607843,0.862745] recall 0.715686 [0.627451,0.803922] recall 0.784314 [0.666667,0.901961] recall 0.833333 [0.705882,0.960784] recall 0.715686 [0.607843,0.823529] recall 0.72549 [0.647059,0.803922] recall 0.823529 [0.686275,0.960784] recall 0.764706 [0.72549,0.803922] recall 0.686275 [0.54902,0.823529] recall 0.77451 [0.686275,0.862745] recall 0.705882 [0.568627,0.843137] recall 0.715686 [0.568627,0.862745] recall 0.627451 [0.490196,0.764706] recall 0.794118 [0.823529,0.764706] recall 0.676471 [0.686275,0.666667] recall 0.696078 [0.54902,0.843137] recall 0.647059 [0.607843,0.686275] recall 0.784314 [0.803922,0.764706] recall 0.77451 [0.666667,0.882353] recall 0.647059 [0.490196,0.803922] recall 0.666667 [0.529412,0.803922] recall 0.676471 [0.686275,0.666667] recall 0.813725 [0.745098,0.882353] recall 0.598039 [0.529412,0.666667] recall 0.823529 [0.901961,0.745098] recall 0.676471 [0.627451,0.72549] recall 0.784314 [0.745098,0.823529] recall 0.784314 [0.686275,0.882353] recall 0.764706 [0.705882,0.823529] recall 0.754902 [0.705882,0.803922] recall 0.686275 [0.745098,0.627451] recall 0.715686 [0.58,0.846154] recall 0.715686 [0.74,0.692308] recall 0.794118 [0.66,0.923077] recall 0.715686 [0.607843,0.823529] recall 0.735294 [0.588235,0.882353] recall 0.72549 [0.64,0.807692] recall 0.676471 [0.568627,0.784314] recall 0.754902 [0.666667,0.843137] recall 0.764706 [0.6,0.923077] recall 0.666667 [0.56,0.769231] relative_absolute_error 0.690805 relative_absolute_error 0.75734 relative_absolute_error 0.762445 relative_absolute_error 0.714523 relative_absolute_error 0.7123 relative_absolute_error 0.656931 relative_absolute_error 0.720817 relative_absolute_error 0.666507 relative_absolute_error 0.712253 relative_absolute_error 0.787163 relative_absolute_error 0.72683 relative_absolute_error 0.74121 relative_absolute_error 0.717755 relative_absolute_error 0.856893 relative_absolute_error 0.706345 relative_absolute_error 0.731929 relative_absolute_error 0.784633 relative_absolute_error 0.723995 relative_absolute_error 0.761079 relative_absolute_error 0.641429 relative_absolute_error 0.710259 relative_absolute_error 0.768878 relative_absolute_error 0.727032 relative_absolute_error 0.680584 relative_absolute_error 0.722235 relative_absolute_error 0.783372 relative_absolute_error 0.713108 relative_absolute_error 0.707237 relative_absolute_error 0.801369 relative_absolute_error 0.690006 relative_absolute_error 0.715947 relative_absolute_error 0.779662 relative_absolute_error 0.749724 relative_absolute_error 0.651891 relative_absolute_error 0.687254 relative_absolute_error 0.747794 relative_absolute_error 0.738749 relative_absolute_error 0.755978 relative_absolute_error 0.783324 relative_absolute_error 0.6929 relative_absolute_error 0.720359 relative_absolute_error 0.72287 relative_absolute_error 0.762028 relative_absolute_error 0.751235 relative_absolute_error 0.723185 relative_absolute_error 0.735436 relative_absolute_error 0.697473 relative_absolute_error 0.727141 relative_absolute_error 0.717619 relative_absolute_error 0.763839 relative_absolute_error 0.812337 relative_absolute_error 0.68141 relative_absolute_error 0.787579 relative_absolute_error 0.71269 relative_absolute_error 0.708565 relative_absolute_error 0.807417 relative_absolute_error 0.783797 relative_absolute_error 0.754455 relative_absolute_error 0.65875 relative_absolute_error 0.72936 relative_absolute_error 0.752477 relative_absolute_error 0.72924 relative_absolute_error 0.694907 relative_absolute_error 0.729708 relative_absolute_error 0.730215 relative_absolute_error 0.636639 relative_absolute_error 0.759454 relative_absolute_error 0.787507 relative_absolute_error 0.689524 relative_absolute_error 0.755747 relative_absolute_error 0.756533 relative_absolute_error 0.846501 relative_absolute_error 0.667212 relative_absolute_error 0.762296 relative_absolute_error 0.741517 relative_absolute_error 0.822462 relative_absolute_error 0.670807 relative_absolute_error 0.69392 relative_absolute_error 0.801815 relative_absolute_error 0.818807 relative_absolute_error 0.777879 relative_absolute_error 0.685493 relative_absolute_error 0.87283 relative_absolute_error 0.682096 relative_absolute_error 0.770979 relative_absolute_error 0.710792 relative_absolute_error 0.695195 relative_absolute_error 0.696979 relative_absolute_error 0.753581 relative_absolute_error 0.756667 relative_absolute_error 0.77749 relative_absolute_error 0.713565 relative_absolute_error 0.678757 relative_absolute_error 0.761897 relative_absolute_error 0.75023 relative_absolute_error 0.767847 relative_absolute_error 0.782846 relative_absolute_error 0.743007 relative_absolute_error 0.696989 relative_absolute_error 0.786989 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 0.399549 root_mean_squared_error 0.457759 root_mean_squared_error 0.445441 root_mean_squared_error 0.434419 root_mean_squared_error 0.41954 root_mean_squared_error 0.379388 root_mean_squared_error 0.433356 root_mean_squared_error 0.39352 root_mean_squared_error 0.422365 root_mean_squared_error 0.464116 root_mean_squared_error 0.434927 root_mean_squared_error 0.433448 root_mean_squared_error 0.414578 root_mean_squared_error 0.494146 root_mean_squared_error 0.414682 root_mean_squared_error 0.444533 root_mean_squared_error 0.45177 root_mean_squared_error 0.429525 root_mean_squared_error 0.4336 root_mean_squared_error 0.374032 root_mean_squared_error 0.41296 root_mean_squared_error 0.440021 root_mean_squared_error 0.441526 root_mean_squared_error 0.393565 root_mean_squared_error 0.42862 root_mean_squared_error 0.463111 root_mean_squared_error 0.419546 root_mean_squared_error 0.413408 root_mean_squared_error 0.456246 root_mean_squared_error 0.4078 root_mean_squared_error 0.437334 root_mean_squared_error 0.45813 root_mean_squared_error 0.435389 root_mean_squared_error 0.38205 root_mean_squared_error 0.408199 root_mean_squared_error 0.446065 root_mean_squared_error 0.424925 root_mean_squared_error 0.452922 root_mean_squared_error 0.445036 root_mean_squared_error 0.385147 root_mean_squared_error 0.432587 root_mean_squared_error 0.4186 root_mean_squared_error 0.437647 root_mean_squared_error 0.451936 root_mean_squared_error 0.426413 root_mean_squared_error 0.41941 root_mean_squared_error 0.411917 root_mean_squared_error 0.436055 root_mean_squared_error 0.418876 root_mean_squared_error 0.435797 root_mean_squared_error 0.471573 root_mean_squared_error 0.412732 root_mean_squared_error 0.46799 root_mean_squared_error 0.426175 root_mean_squared_error 0.421251 root_mean_squared_error 0.456882 root_mean_squared_error 0.457288 root_mean_squared_error 0.432993 root_mean_squared_error 0.396961 root_mean_squared_error 0.423155 root_mean_squared_error 0.433309 root_mean_squared_error 0.414895 root_mean_squared_error 0.392724 root_mean_squared_error 0.425738 root_mean_squared_error 0.425708 root_mean_squared_error 0.369961 root_mean_squared_error 0.443954 root_mean_squared_error 0.46008 root_mean_squared_error 0.412465 root_mean_squared_error 0.443542 root_mean_squared_error 0.43173 root_mean_squared_error 0.489522 root_mean_squared_error 0.398495 root_mean_squared_error 0.452974 root_mean_squared_error 0.440294 root_mean_squared_error 0.490656 root_mean_squared_error 0.393762 root_mean_squared_error 0.410808 root_mean_squared_error 0.46451 root_mean_squared_error 0.465838 root_mean_squared_error 0.454893 root_mean_squared_error 0.395101 root_mean_squared_error 0.498536 root_mean_squared_error 0.401576 root_mean_squared_error 0.463925 root_mean_squared_error 0.42029 root_mean_squared_error 0.400687 root_mean_squared_error 0.420662 root_mean_squared_error 0.44542 root_mean_squared_error 0.453154 root_mean_squared_error 0.443674 root_mean_squared_error 0.425233 root_mean_squared_error 0.397092 root_mean_squared_error 0.44614 root_mean_squared_error 0.42946 root_mean_squared_error 0.446568 root_mean_squared_error 0.452694 root_mean_squared_error 0.425283 root_mean_squared_error 0.410251 root_mean_squared_error 0.467059 root_relative_squared_error 0.799131 root_relative_squared_error 0.915554 root_relative_squared_error 0.890918 root_relative_squared_error 0.868873 root_relative_squared_error 0.839113 root_relative_squared_error 0.758805 root_relative_squared_error 0.866746 root_relative_squared_error 0.78707 root_relative_squared_error 0.844764 root_relative_squared_error 0.928268 root_relative_squared_error 0.869888 root_relative_squared_error 0.866931 root_relative_squared_error 0.829189 root_relative_squared_error 0.988332 root_relative_squared_error 0.829396 root_relative_squared_error 0.889101 root_relative_squared_error 0.903576 root_relative_squared_error 0.859084 root_relative_squared_error 0.867234 root_relative_squared_error 0.748095 root_relative_squared_error 0.825953 root_relative_squared_error 0.880077 root_relative_squared_error 0.883087 root_relative_squared_error 0.787161 root_relative_squared_error 0.857274 root_relative_squared_error 0.92626 root_relative_squared_error 0.839125 root_relative_squared_error 0.826849 root_relative_squared_error 0.912528 root_relative_squared_error 0.815633 root_relative_squared_error 0.874703 root_relative_squared_error 0.916297 root_relative_squared_error 0.870814 root_relative_squared_error 0.764131 root_relative_squared_error 0.81643 root_relative_squared_error 0.892165 root_relative_squared_error 0.849885 root_relative_squared_error 0.90588 root_relative_squared_error 0.890108 root_relative_squared_error 0.770325 root_relative_squared_error 0.865159 root_relative_squared_error 0.837185 root_relative_squared_error 0.875279 root_relative_squared_error 0.903959 root_relative_squared_error 0.852909 root_relative_squared_error 0.838805 root_relative_squared_error 0.823915 root_relative_squared_error 0.872196 root_relative_squared_error 0.837737 root_relative_squared_error 0.87158 root_relative_squared_error 0.943129 root_relative_squared_error 0.82545 root_relative_squared_error 0.935963 root_relative_squared_error 0.852336 root_relative_squared_error 0.842487 root_relative_squared_error 0.913748 root_relative_squared_error 0.91456 root_relative_squared_error 0.865972 root_relative_squared_error 0.793908 root_relative_squared_error 0.846295 root_relative_squared_error 0.866604 root_relative_squared_error 0.829775 root_relative_squared_error 0.785434 root_relative_squared_error 0.851461 root_relative_squared_error 0.851402 root_relative_squared_error 0.739909 root_relative_squared_error 0.887893 root_relative_squared_error 0.920143 root_relative_squared_error 0.824916 root_relative_squared_error 0.88707 root_relative_squared_error 0.863446 root_relative_squared_error 0.979027 root_relative_squared_error 0.796977 root_relative_squared_error 0.905933 root_relative_squared_error 0.880574 root_relative_squared_error 0.981296 root_relative_squared_error 0.78751 root_relative_squared_error 0.821602 root_relative_squared_error 0.929004 root_relative_squared_error 0.931659 root_relative_squared_error 0.909771 root_relative_squared_error 0.790189 root_relative_squared_error 0.997055 root_relative_squared_error 0.803138 root_relative_squared_error 0.927833 root_relative_squared_error 0.840566 root_relative_squared_error 0.80136 root_relative_squared_error 0.84131 root_relative_squared_error 0.890824 root_relative_squared_error 0.906293 root_relative_squared_error 0.887435 root_relative_squared_error 0.850549 root_relative_squared_error 0.794262 root_relative_squared_error 0.892265 root_relative_squared_error 0.858906 root_relative_squared_error 0.893224 root_relative_squared_error 0.905372 root_relative_squared_error 0.850551 root_relative_squared_error 0.820582 root_relative_squared_error 0.934209 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis_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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