231648 2 Joaquin Vanschoren 1882 Supervised Classification predictive_accuracy 1194 weka.RandomSubSpace_REPTree(4) 2052 weka.classifiers.meta.RandomSubSpace -- -P 0.5 -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 0.5 1194 S 1 1194 num-slots 1 1194 I 10 1194 W weka.classifiers.trees.REPTree 1194 weka weka_3.7.12 2 anneal https://www.openml.org/data/download/1666876/phpFsFYVN -1 771389 description https://api.openml.org/data/download/771389/weka_generated_run843544137634317129.xml -1 771392 model_readable https://api.openml.org/data/download/771392/WekaModel_weka.classifiers.meta.RandomSubSpace5640353563600434969.model -1 771391 model_serialized https://api.openml.org/data/download/771391/WekaSerialized_weka.classifiers.meta.RandomSubSpace9146915129482554987.model -1 771390 predictions https://api.openml.org/data/download/771390/weka_generated_predictions5678695659440243999.arff area_under_roc_curve 0.977462 [0.911041,0.985709,0.97457,0.0,0.995603,0.989418] average_cost 0 f_measure 0.841725 [0.545455,0.675981,0.91854,0,0.4038,0.731183] kappa 0.566362 kb_relative_information_score 4892.519054 mean_absolute_error 0.082625 mean_prior_absolute_error 0.134305 number_of_instances 8980 [80,990,6840,0,670,400] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.882457 [1,0.990253,0.85126,0,0.988372,0.948207] predictive_accuracy 0.865033 prior_entropy 1.214875 recall 0.865033 [0.375,0.513131,0.997368,0,0.253731,0.595] relative_absolute_error 0.615206 root_mean_prior_squared_error 0.258218 root_mean_squared_error 0.173737 root_relative_squared_error 0.672829 scimark_benchmark 1349.798141 [838.1742262669621, 1114.813421134787, 526.0861745217665, 1058.31247558279, 3211.6044084560053] total_cost 0 usercpu_time_millis 80 usercpu_time_millis_testing 0 usercpu_time_millis_training 80 area_under_roc_curve 0.997394 [1,0.992455,0.997585,0.0,1,1] area_under_roc_curve 0.982728 [1,0.995885,0.978261,0.0,1,0.99564] area_under_roc_curve 0.985661 [1,0.99,0.982747,0.0,1,1] area_under_roc_curve 0.986873 [0.988764,0.9925,0.984127,0.0,1,1] area_under_roc_curve 0.995324 [1,0.99125,0.995169,0.0,1,1] area_under_roc_curve 0.998247 [1,0.99375,0.99862,0.0,1,1] area_under_roc_curve 0.961068 [1,0.986875,0.956177,0.0,1,0.912791] area_under_roc_curve 0.990198 [1,0.9975,0.987578,0.0,1,1] area_under_roc_curve 0.959242 [1,0.982167,0.951691,0.0,1,0.956395] area_under_roc_curve 0.996669 [1,0.993141,0.996549,0.0,1,1] area_under_roc_curve 0.968395 [1,1,0.959282,0.0,1,0.991279] area_under_roc_curve 0.98801 [1,0.98875,0.985963,0.0,0.998279,1] area_under_roc_curve 0.979534 [1,0.994375,0.97619,0.0,0.97619,1] area_under_roc_curve 0.958353 [1,0.96875,0.953761,0.0,0.992063,0.950581] area_under_roc_curve 0.944233 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f_measure 0.887252 [0,0.666667,0.937931,0,0.727273,0.857143] f_measure 0.880791 [0,0.75,0.937931,0,0.444444,1] f_measure 0.740812 [0,0.5,0.890323,0,0,0] f_measure 0.849327 [0,0.75,0.92517,0,0.25,0.857143] f_measure 0.952835 [0,0.823529,0.971429,0,0.923077,1] f_measure 0.912675 [0,0.666667,0.951049,0,0.923077,0.857143] f_measure 0.851539 [0,0.75,0.926174,0,0.285714,0.666667] f_measure 0.839668 [0,0.461538,0.918919,0,0.6,0.857143] kappa 0.692716 kappa 0.625426 kappa 0.509022 kappa 0.605263 kappa 0.282364 kappa 0.808171 kappa 0.582043 kappa 0.51046 kappa 0.404499 kappa 0.650621 kappa 0.718359 kappa 0.538462 kappa 0.455017 kappa 0.558824 kappa 0.343964 kappa 0.733136 kappa 0.580583 kappa 0.691311 kappa 0.536266 kappa 0.402126 kappa 0.560618 kappa 0.623144 kappa 0.771739 kappa 0.508403 kappa 0.647887 kappa 0.605263 kappa 0.580583 kappa 0.603842 kappa 0.60177 kappa 0.453836 kappa 0.407115 kappa 0.325991 kappa 0.808375 kappa 0.559184 kappa 0.631696 kappa 0.606205 kappa 0 kappa 0.401065 kappa 0.389313 kappa 0.559184 kappa 0.439834 kappa 0.488221 kappa 0.667406 kappa 0.745403 kappa 0.624431 kappa 0.706628 kappa 0.386189 kappa 0.598662 kappa 0.490703 kappa 0.326881 kappa 0.49132 kappa 0.665552 kappa 0.78125 kappa 0.601329 kappa 0.582528 kappa 0.707264 kappa 0.485714 kappa 0.680738 kappa 0.539007 kappa 0.382239 kappa 0.489465 kappa 0.487597 kappa 0.582528 kappa 0.643372 kappa 0.581071 kappa 0.707264 kappa 0.435619 kappa 0.556146 kappa 0.256522 kappa 0.535161 kappa 0.44053 kappa 0.506329 kappa 0.695225 kappa 0.437031 kappa 0.497006 kappa 0.618509 kappa 0.269612 kappa 0.744862 kappa 0.606675 kappa 0.268623 kappa 0.605083 kappa 0.716786 kappa 0.458025 kappa 0.505978 kappa 0.77045 kappa 0.64836 kappa 0.628237 kappa 0.731016 kappa 0.769345 kappa 0.150678 kappa 0.397835 kappa 0.477652 kappa 0.691329 kappa 0.691329 kappa 0.228061 kappa 0.603644 kappa 0.876987 kappa 0.770703 kappa 0.579287 kappa 0.558313 kb_relative_information_score 54.190047 kb_relative_information_score 51.708606 kb_relative_information_score 47.594981 kb_relative_information_score 51.042796 kb_relative_information_score 43.899183 kb_relative_information_score 54.621552 kb_relative_information_score 50.816109 kb_relative_information_score 49.047214 kb_relative_information_score 46.333981 kb_relative_information_score 53.976622 kb_relative_information_score 54.387603 kb_relative_information_score 56.292757 kb_relative_information_score 47.721883 kb_relative_information_score 48.251524 kb_relative_information_score 39.634807 kb_relative_information_score 56.836867 kb_relative_information_score 51.049558 kb_relative_information_score 49.199136 kb_relative_information_score 50.227864 kb_relative_information_score 42.99888 kb_relative_information_score 50.657796 kb_relative_information_score 48.675707 kb_relative_information_score 43.068684 kb_relative_information_score 49.890953 kb_relative_information_score 53.29173 kb_relative_information_score 46.63193 kb_relative_information_score 50.005399 kb_relative_information_score 50.161122 kb_relative_information_score 50.898722 kb_relative_information_score 41.752367 kb_relative_information_score 46.745706 kb_relative_information_score 42.738443 kb_relative_information_score 52.272156 kb_relative_information_score 48.538955 kb_relative_information_score 51.831474 kb_relative_information_score 46.859722 kb_relative_information_score 39.44594 kb_relative_information_score 49.733382 kb_relative_information_score 50.763695 kb_relative_information_score 44.085798 kb_relative_information_score 45.847276 kb_relative_information_score 52.165319 kb_relative_information_score 53.625256 kb_relative_information_score 54.580326 kb_relative_information_score 47.737758 kb_relative_information_score 59.786403 kb_relative_information_score 46.948932 kb_relative_information_score 50.681594 kb_relative_information_score 51.239064 kb_relative_information_score 46.79416 kb_relative_information_score 49.061236 kb_relative_information_score 55.982191 kb_relative_information_score 54.663427 kb_relative_information_score 49.312868 kb_relative_information_score 50.70442 kb_relative_information_score 55.166175 kb_relative_information_score 45.764383 kb_relative_information_score 48.962206 kb_relative_information_score 54.309448 kb_relative_information_score 41.530624 kb_relative_information_score 49.961397 kb_relative_information_score 49.169359 kb_relative_information_score 52.531158 kb_relative_information_score 49.692118 kb_relative_information_score 54.872256 kb_relative_information_score 47.402832 kb_relative_information_score 39.412042 kb_relative_information_score 51.834986 kb_relative_information_score 51.006105 kb_relative_information_score 42.776111 kb_relative_information_score 49.811738 kb_relative_information_score 48.051367 kb_relative_information_score 52.778871 kb_relative_information_score 47.075008 kb_relative_information_score 50.544699 kb_relative_information_score 47.847118 kb_relative_information_score 45.942949 kb_relative_information_score 52.431273 kb_relative_information_score 50.909348 kb_relative_information_score 43.575493 kb_relative_information_score 43.19111 kb_relative_information_score 45.337785 kb_relative_information_score 48.717336 kb_relative_information_score 50.081692 kb_relative_information_score 51.985161 kb_relative_information_score 50.84082 kb_relative_information_score 46.358631 kb_relative_information_score 53.771936 kb_relative_information_score 48.201166 kb_relative_information_score 42.7937 kb_relative_information_score 43.589507 kb_relative_information_score 38.441486 kb_relative_information_score 47.98205 kb_relative_information_score 48.438027 kb_relative_information_score 38.479026 kb_relative_information_score 46.568096 kb_relative_information_score 54.958461 kb_relative_information_score 51.305772 kb_relative_information_score 43.887557 kb_relative_information_score 47.218786 mean_absolute_error 0.074462 mean_absolute_error 0.07937 mean_absolute_error 0.087909 mean_absolute_error 0.076361 mean_absolute_error 0.093454 mean_absolute_error 0.07309 mean_absolute_error 0.077601 mean_absolute_error 0.085554 mean_absolute_error 0.086824 mean_absolute_error 0.077705 mean_absolute_error 0.070299 mean_absolute_error 0.074476 mean_absolute_error 0.085428 mean_absolute_error 0.080589 mean_absolute_error 0.095785 mean_absolute_error 0.068101 mean_absolute_error 0.07901 mean_absolute_error 0.081875 mean_absolute_error 0.083546 mean_absolute_error 0.089221 mean_absolute_error 0.081983 mean_absolute_error 0.083872 mean_absolute_error 0.082956 mean_absolute_error 0.081807 mean_absolute_error 0.075989 mean_absolute_error 0.084299 mean_absolute_error 0.085754 mean_absolute_error 0.077989 mean_absolute_error 0.079741 mean_absolute_error 0.0917 mean_absolute_error 0.086291 mean_absolute_error 0.094204 mean_absolute_error 0.077803 mean_absolute_error 0.083442 mean_absolute_error 0.07658 mean_absolute_error 0.078724 mean_absolute_error 0.099076 mean_absolute_error 0.077901 mean_absolute_error 0.084491 mean_absolute_error 0.090359 mean_absolute_error 0.090052 mean_absolute_error 0.083519 mean_absolute_error 0.078892 mean_absolute_error 0.077342 mean_absolute_error 0.084107 mean_absolute_error 0.06992 mean_absolute_error 0.090722 mean_absolute_error 0.082562 mean_absolute_error 0.081668 mean_absolute_error 0.090141 mean_absolute_error 0.087888 mean_absolute_error 0.078993 mean_absolute_error 0.077061 mean_absolute_error 0.081619 mean_absolute_error 0.082135 mean_absolute_error 0.074268 mean_absolute_error 0.093169 mean_absolute_error 0.082068 mean_absolute_error 0.079436 mean_absolute_error 0.092002 mean_absolute_error 0.086149 mean_absolute_error 0.087234 mean_absolute_error 0.077148 mean_absolute_error 0.086285 mean_absolute_error 0.078024 mean_absolute_error 0.083778 mean_absolute_error 0.092739 mean_absolute_error 0.082901 mean_absolute_error 0.080838 mean_absolute_error 0.096091 mean_absolute_error 0.087203 mean_absolute_error 0.083756 mean_absolute_error 0.080315 mean_absolute_error 0.086832 mean_absolute_error 0.083115 mean_absolute_error 0.0864 mean_absolute_error 0.093159 mean_absolute_error 0.081977 mean_absolute_error 0.079889 mean_absolute_error 0.094866 mean_absolute_error 0.090935 mean_absolute_error 0.078476 mean_absolute_error 0.08253 mean_absolute_error 0.075236 mean_absolute_error 0.074451 mean_absolute_error 0.074055 mean_absolute_error 0.080302 mean_absolute_error 0.070555 mean_absolute_error 0.073972 mean_absolute_error 0.091259 mean_absolute_error 0.085787 mean_absolute_error 0.0895 mean_absolute_error 0.074587 mean_absolute_error 0.077833 mean_absolute_error 0.092268 mean_absolute_error 0.083658 mean_absolute_error 0.063566 mean_absolute_error 0.076771 mean_absolute_error 0.080601 mean_absolute_error 0.083737 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.130999 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.130999 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.130999 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.130999 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.131132 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.130999 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.130999 mean_prior_absolute_error 0.133555 number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,69,0,6,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,69,0,6,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,69,0,6,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,69,0,6,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,9,69,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,69,0,6,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,69,0,6,4] number_of_instances 89 [0,10,68,0,7,4] precision 0.900427 [0,1,0.884615,0,1,1] precision 0.815043 [1,1,0.871795,0,0,0.8] precision 0.811789 [1,1,0.841463,0,0,1] precision 0.883472 [0,1,0.8625,0,1,1] precision 0.770672 [0,1,0.802326,0,0,1] precision 0.927556 [0,1,0.92,0,1,1] precision 0.882138 [1,1,0.860759,0,1,0.75] precision 0.867344 [0,1,0.841463,0,1,1] precision 0.851984 [0,1,0.821429,0,1,1] precision 0.902954 [1,1,0.873418,0,1,1] precision 0.898589 [0,1,0.905405,0,1,0.6] precision 0.80096 [1,1,0.839506,0,0,1] precision 0.759572 [1,1,0.831325,0,0,0] precision 0.819753 [1,1,0.851852,0,0,1] precision 0.844575 [0,1,0.811765,0,1,1] precision 0.920346 [1,1,0.896104,0,1,1] precision 0.795471 [0,1,0.860759,0,0,0.8] precision 0.900427 [0,1,0.884615,0,1,1] precision 0.867627 [0,1,0.839506,0,1,1] precision 0.851984 [0,1,0.821429,0,1,1] precision 0.88642 [1,1,0.851852,0,1,1] precision 0.883685 [0,1,0.860759,0,1,1] precision 0.918275 [0,1,0.907895,0,1,1] precision 0.800678 [0,1,0.841463,0,0,1] precision 0.858509 [1,1,0.873418,0,1,0] precision 0.883472 [0,1,0.8625,0,1,1] precision 0.831111 [0,1,0.85,0,1,0] precision 0.894583 [1,1,0.8625,0,1,1] precision 0.873447 [0,1,0.858974,0,1,0.8] precision 0.815127 [0,1,0.831325,0,1,0] precision 0.796429 [1,1,0.821429,0,0,1] precision 0.715556 [0,1,0.8,0,0,0] precision 0.927556 [0,1,0.92,0,1,1] precision 0.797531 [0,1,0.851852,0,0,1] precision 0.879677 [0,0.888889,0.871795,0,1,1] precision 0.883472 [0,1,0.8625,0,1,1] precision 0.570864 [0,0,0.755556,0,0,0] precision 0.80754 [0,1,0.821429,0,1,0] precision 0.856085 [1,1,0.809524,0,1,1] precision 0.841975 [1,1,0.851852,0,1,0] precision 0.774565 [0,1,0.819277,0,0,1] precision 0.826558 [1,1,0.829268,0,1,0] precision 0.892023 [0,1,0.871795,0,1,1] precision 0.920468 [1,1,0.894737,0,1,1] precision 0.883685 [0,1,0.860759,0,1,1] precision 0.900577 [0,1,0.883117,0,1,1] precision 0.81164 [1,1,0.809524,0,1,0] precision 0.868447 [0,0.875,0.858974,0,1,1] precision 0.871003 [1,1,0.829268,0,1,1] precision 0.793333 [0,1,0.8,0,1,0] precision 0.793225 [1,1,0.829268,0,0,1] precision 0.858689 [1,1,0.871795,0,1,0] precision 0.91837 [0,1,0.906667,0,1,1] precision 0.873447 [0,1,0.858974,0,1,0.8] precision 0.808889 [1,1,0.85,0,0,1] precision 0.900577 [0,1,0.883117,0,1,1] precision 0.815447 [0,1,0.829268,0,1,0] precision 0.883542 [0,0.857143,0.881579,0,1,1] precision 0.878738 [1,1,0.839506,0,1,1] precision 0.800529 [0,1,0.809524,0,1,0] precision 0.782114 [0,1,0.829268,0,0,1] precision 0.826558 [1,1,0.829268,0,1,0] precision 0.875556 [0,1,0.85,0,1,1] precision 0.892987 [1,1,0.87013,0,1,0.8] precision 0.886667 [1,1,0.85,0,1,1] precision 0.911688 [1,1,0.883117,0,1,1] precision 0.807898 [0,1,0.819277,0,1,0] precision 0.814862 [1,1,0.848101,0,0.666667,0] precision 0.631111 [0,0,0.788235,0,0,0.8] precision 0.823182 [0,1,0.839506,0,1,0] precision 0.785676 [1,1,0.819277,0,0,1] precision 0.8229 [0,1,0.841463,0,1,0] precision 0.892392 [0,1,0.891892,0,1,0.666667] precision 0.774565 [0,1,0.819277,0,0,1] precision 0.809294 [0,0.875,0.839506,0,1,0] precision 0.874659 [0,1,0.868421,0,1,0.666667] precision 0.786305 [0,1,0.790698,0,1,0] precision 0.920468 [1,1,0.894737,0,1,1] precision 0.894583 [1,1,0.8625,0,1,1] precision 0.786305 [0,1,0.790698,0,1,0] precision 0.893614 [0,1,0.860759,0,1,1] precision 0.919451 [0,1,0.896104,0,1,1] precision 0.790902 [0,1,0.829268,0,0,1] precision 0.877376 [0,1,0.839506,0,1,1] precision 0.928689 [0,1,0.906667,0,1,1] precision 0.823394 [0,1,0.871795,0,0,1] precision 0.834447 [0,1,0.873418,0,0,1] precision 0.840923 [0,1,0.894737,0,0,1] precision 0.923094 [0,0.875,0.918919,0,1,1] precision 0.754488 [0,1,0.781609,0,0,1] precision 0.738324 [0,1,0.819277,0,0,0] precision 0.87709 [0,1,0.841463,0,1,1] precision 0.910696 [0,1,0.883117,0,1,1] precision 0.910696 [0,1,0.883117,0,1,1] precision 0.723151 [0,1,0.802326,0,0,0] precision 0.893614 [0,1,0.860759,0,1,1] precision 0.957611 [0,1,0.957746,0,0.857143,1] precision 0.928689 [0,1,0.906667,0,1,1] precision 0.893399 [0,1,0.8625,0,1,1] precision 0.885393 [0,1,0.85,0,1,1] predictive_accuracy 0.9 predictive_accuracy 0.877778 predictive_accuracy 0.855556 predictive_accuracy 0.877778 predictive_accuracy 0.811111 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.855556 predictive_accuracy 0.833333 predictive_accuracy 0.888889 predictive_accuracy 0.9 predictive_accuracy 0.855556 predictive_accuracy 0.844444 predictive_accuracy 0.866667 predictive_accuracy 0.822222 predictive_accuracy 0.911111 predictive_accuracy 0.866667 predictive_accuracy 0.9 predictive_accuracy 0.855556 predictive_accuracy 0.833333 predictive_accuracy 0.866667 predictive_accuracy 0.877778 predictive_accuracy 0.922222 predictive_accuracy 0.855556 predictive_accuracy 0.888889 predictive_accuracy 0.877778 predictive_accuracy 0.866667 predictive_accuracy 0.877778 predictive_accuracy 0.866667 predictive_accuracy 0.844444 predictive_accuracy 0.833333 predictive_accuracy 0.811111 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.877778 predictive_accuracy 0.877778 predictive_accuracy 0.755556 predictive_accuracy 0.833333 predictive_accuracy 0.822222 predictive_accuracy 0.866667 predictive_accuracy 0.833333 predictive_accuracy 0.844444 predictive_accuracy 0.888889 predictive_accuracy 0.911111 predictive_accuracy 0.877778 predictive_accuracy 0.9 predictive_accuracy 0.822222 predictive_accuracy 0.866667 predictive_accuracy 0.844444 predictive_accuracy 0.811111 predictive_accuracy 0.844444 predictive_accuracy 0.888889 predictive_accuracy 0.922222 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.9 predictive_accuracy 0.844444 predictive_accuracy 0.888889 predictive_accuracy 0.855556 predictive_accuracy 0.822222 predictive_accuracy 0.844444 predictive_accuracy 0.844444 predictive_accuracy 0.866667 predictive_accuracy 0.877778 predictive_accuracy 0.866667 predictive_accuracy 0.9 predictive_accuracy 0.833333 predictive_accuracy 0.855556 predictive_accuracy 0.788889 predictive_accuracy 0.855556 predictive_accuracy 0.833333 predictive_accuracy 0.855556 predictive_accuracy 0.888889 predictive_accuracy 0.833333 predictive_accuracy 0.844444 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.911111 predictive_accuracy 0.877778 predictive_accuracy 0.8 predictive_accuracy 0.876404 predictive_accuracy 0.910112 predictive_accuracy 0.842697 predictive_accuracy 0.853933 predictive_accuracy 0.921348 predictive_accuracy 0.88764 predictive_accuracy 0.88764 predictive_accuracy 0.910112 predictive_accuracy 0.921348 predictive_accuracy 0.786517 predictive_accuracy 0.831461 predictive_accuracy 0.853933 predictive_accuracy 0.898876 predictive_accuracy 0.898876 predictive_accuracy 0.808989 predictive_accuracy 0.876404 predictive_accuracy 0.955056 predictive_accuracy 0.921348 predictive_accuracy 0.876404 predictive_accuracy 0.865169 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 recall 0.9 [0,0.555556,1,0,0.428571,1] recall 0.877778 [1,0.666667,0.985507,0,0,1] recall 0.855556 [1,0.5,1,0,0,0.5] recall 0.877778 [0,0.5,1,0,0.166667,1] recall 0.811111 [0,0.3,1,0,0,0.25] recall 0.933333 [0,0.7,1,0,0.666667,1] recall 0.866667 [1,0.3,0.985507,0,0.5,0.75] recall 0.855556 [0,0.3,1,0,0.166667,1] recall 0.833333 [0,0.222222,1,0,0.142857,0.75] recall 0.888889 [1,0.444444,1,0,0.571429,0.5] recall 0.9 [0,0.8,0.971014,0,0.5,0.75] recall 0.855556 [1,0.4,1,0,0,1] recall 0.844444 [1,0.6,1,0,0,0] recall 0.866667 [1,0.5,1,0,0,0.75] recall 0.822222 [0,0.3,1,0,0.166667,0.25] recall 0.911111 [1,0.6,1,0,0.333333,1] recall 0.866667 [0,0.666667,0.985507,0,0,1] recall 0.9 [0,0.7,1,0,0.333333,0.75] recall 0.855556 [0,0.5,1,0,0.142857,0.75] recall 0.833333 [0,0.3,1,0,0.333333,0.25] recall 0.866667 [1,0.3,1,0,0.166667,1] recall 0.877778 [0,0.9,1,0,0.142857,0.25] recall 0.922222 [0,0.5,1,0,0.833333,1] recall 0.855556 [0,0.5,1,0,0,0.75] recall 0.888889 [1,0.8,1,0,0.333333,0] recall 0.877778 [0,0.5,1,0,0.166667,1] recall 0.866667 [0,0.5,1,0,0.714286,0] recall 0.877778 [1,0.7,1,0,0.166667,0.25] recall 0.866667 [0,0.5,0.985294,0,0.285714,1] recall 0.844444 [0,0.6,1,0,0.166667,0] recall 0.833333 [1,0.1,1,0,0,1] recall 0.811111 [0,0.5,1,0,0,0] recall 0.933333 [0,0.777778,1,0,0.571429,1] recall 0.866667 [0,0.555556,1,0,0,1] recall 0.877778 [0,0.8,1,0,0.285714,0.25] recall 0.877778 [0,0.444444,1,0,0.285714,1] recall 0.755556 [0,0,1,0,0,0] recall 0.833333 [0,0.444444,1,0,0.285714,0] recall 0.822222 [1,0.1,1,0,0.142857,0.75] recall 0.866667 [1,0.3,1,0,0.833333,0] recall 0.833333 [0,0.3,1,0,0,1] recall 0.844444 [1,0.4,1,0,0.428571,0] recall 0.888889 [0,0.6,1,0,0.285714,1] recall 0.911111 [1,0.8,1,0,0.142857,1] recall 0.877778 [0,0.6,1,0,0.571429,0.25] recall 0.9 [0,0.8,1,0,0.142857,1] recall 0.822222 [1,0.2,1,0,0.428571,0] recall 0.866667 [0,0.7,0.985294,0,0.428571,0.25] recall 0.844444 [1,0.3,1,0,0.142857,0.75] recall 0.811111 [0,0.4,1,0,0.142857,0] recall 0.844444 [1,0.3,1,0,0,1] recall 0.888889 [1,0.9,1,0,0.285714,0] recall 0.922222 [0,0.7,1,0,0.857143,0.5] recall 0.866667 [0,0.6,0.985294,0,0.142857,1] recall 0.866667 [1,0.6,1,0,0,0.75] recall 0.9 [0,0.6,1,0,0.428571,1] recall 0.844444 [0,0.6,1,0,0.285714,0] recall 0.888889 [0,0.6,0.985294,0,0.714286,0.5] recall 0.855556 [1,0.3,1,0,0.142857,1] recall 0.822222 [0,0.5,1,0,0.142857,0] recall 0.844444 [0,0.4,1,0,0,1] recall 0.844444 [1,0.5,1,0,0.285714,0] recall 0.866667 [0,0.4,1,0,0.428571,0.75] recall 0.877778 [1,0.6,0.985294,0,0.142857,1] recall 0.866667 [1,0.7,1,0,0.142857,0.25] recall 0.9 [1,0.6,1,0,0.571429,0.5] recall 0.833333 [0,0.5,1,0,0.285714,0] recall 0.855556 [1,0.7,0.985294,0,0.285714,0] recall 0.788889 [0,0,0.985294,0,0,1] recall 0.855556 [0,0.4,1,0,0.714286,0] recall 0.833333 [1,0.3,1,0,0,0.75] recall 0.855556 [0,0.6,1,0,0.333333,0] recall 0.888889 [0,0.7,0.970588,0,0.428571,1] recall 0.833333 [0,0.5,1,0,0,0.5] recall 0.844444 [0,0.7,1,0,0.142857,0] recall 0.866667 [0,0.7,0.970588,0,0.142857,1] recall 0.8 [0,0.2,1,0,0.285714,0] recall 0.911111 [1,0.9,1,0,0.142857,0.75] recall 0.877778 [1,0.4,1,0,0.166667,1] recall 0.8 [0,0.3,1,0,0.142857,0] recall 0.876404 [0,0.4,1,0,0.285714,1] recall 0.910112 [0,0.7,1,0,0.333333,0.75] recall 0.842697 [0,0.3,1,0,0,1] recall 0.853933 [0,0.6,1,0,0.142857,0.25] recall 0.921348 [0,0.7,1,0,0.428571,1] recall 0.88764 [0,0.7,1,0,0,1] recall 0.88764 [0,0.6,1,0,0,1] recall 0.910112 [0,0.9,1,0,0,1] recall 0.921348 [0,0.7,0.985507,0,0.5,1] recall 0.786517 [0,0.1,1,0,0,0.25] recall 0.831461 [0,0.6,1,0,0,0] recall 0.853933 [0,0.3,1,0,0.166667,0.75] recall 0.898876 [0,0.5,1,0,0.571429,0.75] recall 0.898876 [0,0.6,1,0,0.285714,1] recall 0.808989 [0,0.333333,1,0,0,0] recall 0.876404 [0,0.6,1,0,0.142857,0.75] recall 0.955056 [0,0.7,0.985507,0,1,1] recall 0.921348 [0,0.5,1,0,0.857143,0.75] recall 0.876404 [0,0.6,1,0,0.166667,0.5] recall 0.865169 [0,0.3,1,0,0.428571,0.75] relative_absolute_error 0.558433 relative_absolute_error 0.595237 relative_absolute_error 0.659928 relative_absolute_error 0.573237 relative_absolute_error 0.701551 relative_absolute_error 0.54868 relative_absolute_error 0.582542 relative_absolute_error 0.642249 relative_absolute_error 0.651142 relative_absolute_error 0.582753 relative_absolute_error 0.527727 relative_absolute_error 0.548674 relative_absolute_error 0.641303 relative_absolute_error 0.604972 relative_absolute_error 0.719049 relative_absolute_error 0.51123 relative_absolute_error 0.592539 relative_absolute_error 0.614626 relative_absolute_error 0.615494 relative_absolute_error 0.669772 relative_absolute_error 0.615437 relative_absolute_error 0.617892 relative_absolute_error 0.622741 relative_absolute_error 0.614118 relative_absolute_error 0.570443 relative_absolute_error 0.632827 relative_absolute_error 0.631758 relative_absolute_error 0.585458 relative_absolute_error 0.587462 relative_absolute_error 0.688383 relative_absolute_error 0.647777 relative_absolute_error 0.694012 relative_absolute_error 0.583485 relative_absolute_error 0.625779 relative_absolute_error 0.564172 relative_absolute_error 0.590394 relative_absolute_error 0.729904 relative_absolute_error 0.58422 relative_absolute_error 0.622459 relative_absolute_error 0.678321 relative_absolute_error 0.66342 relative_absolute_error 0.615292 relative_absolute_error 0.581208 relative_absolute_error 0.569785 relative_absolute_error 0.619628 relative_absolute_error 0.515111 relative_absolute_error 0.668359 relative_absolute_error 0.608245 relative_absolute_error 0.601659 relative_absolute_error 0.664078 relative_absolute_error 0.647483 relative_absolute_error 0.581947 relative_absolute_error 0.567718 relative_absolute_error 0.601295 relative_absolute_error 0.605096 relative_absolute_error 0.547144 relative_absolute_error 0.68639 relative_absolute_error 0.604602 relative_absolute_error 0.585215 relative_absolute_error 0.677787 relative_absolute_error 0.634671 relative_absolute_error 0.642661 relative_absolute_error 0.568357 relative_absolute_error 0.635675 relative_absolute_error 0.574809 relative_absolute_error 0.617206 relative_absolute_error 0.683218 relative_absolute_error 0.610739 relative_absolute_error 0.595541 relative_absolute_error 0.707915 relative_absolute_error 0.642433 relative_absolute_error 0.628746 relative_absolute_error 0.59169 relative_absolute_error 0.639704 relative_absolute_error 0.612315 relative_absolute_error 0.636518 relative_absolute_error 0.686311 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