350556 2 Joaquin Vanschoren 4315 Supervised Classification predictive_accuracy 1174 weka.KernelLogisticRegression_RBFKernel(1) 2016 weka.classifiers.functions.KernelLogisticRegression -- -S 1 -K "weka.classifiers.functions.supportVector.RBFKernel -G 0.01 -C 250007" -L 0.01 -P 1 -E 1 S 1 1174 K weka.classifiers.functions.supportVector.RBFKernel 1174 L 0.01 1174 P 1 1174 E 1 1174 G 0.01 1175 C 250007 1175 weka weka_3.7.12 744 fri_c3_250_5 https://www.openml.org/data/download/53278/fri_c3_250_5.arff -1 1207500 description https://api.openml.org/data/download/1207500/weka_generated_run6505285273110984480.xml -1 1207503 model_readable https://api.openml.org/data/download/1207503/WekaModel_weka.classifiers.functions.KernelLogisticRegression7148344384697653276.model -1 1207502 model_serialized https://api.openml.org/data/download/1207502/WekaSerialized_weka.classifiers.functions.KernelLogisticRegression1396351539976896547.model -1 1207501 predictions https://api.openml.org/data/download/1207501/weka_generated_predictions7228746800803929104.arff area_under_roc_curve 0.775506 [0.775506,0.775506] average_cost 0 f_measure 0.728389 [0.679621,0.76609] kappa 0.446156 kb_relative_information_score 631.054335 mean_absolute_error 0.379601 mean_prior_absolute_error 0.491873 number_of_instances 2500 [1090,1410] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-31-generic] precision 0.728339 [0.702941,0.747973] predictive_accuracy 0.7296 prior_entropy 0.988337 recall 0.7296 [0.657798,0.785106] relative_absolute_error 0.771746 root_mean_prior_squared_error 0.495887 root_mean_squared_error 0.436129 root_relative_squared_error 0.879491 scimark_benchmark 1315.928711 [815.8281714984039, 963.477504, 526.6021608242028, 1074.3606305428655, 3199.3750898725366] total_cost 0 usercpu_time_millis 270 usercpu_time_millis_testing 10 usercpu_time_millis_training 260 area_under_roc_curve 0.746667 [0.746667,0.746667] area_under_roc_curve 0.813333 [0.813333,0.813333] area_under_roc_curve 0.713333 [0.713333,0.713333] area_under_roc_curve 0.553333 [0.553333,0.553333] area_under_roc_curve 0.846667 [0.846667,0.846667] area_under_roc_curve 0.837662 [0.837662,0.837662] area_under_roc_curve 0.61039 [0.61039,0.61039] area_under_roc_curve 0.753333 [0.753333,0.753333] area_under_roc_curve 0.668831 [0.668831,0.668831] area_under_roc_curve 0.75974 [0.75974,0.75974] area_under_roc_curve 0.883117 [0.883117,0.883117] area_under_roc_curve 0.590909 [0.590909,0.590909] area_under_roc_curve 0.75974 [0.75974,0.75974] area_under_roc_curve 0.746753 [0.746753,0.746753] area_under_roc_curve 0.512987 [0.512987,0.512987] area_under_roc_curve 0.772727 [0.772727,0.772727] area_under_roc_curve 0.668831 [0.668831,0.668831] area_under_roc_curve 0.720779 [0.720779,0.720779] area_under_roc_curve 0.805195 [0.805195,0.805195] area_under_roc_curve 0.597403 [0.597403,0.597403] area_under_roc_curve 0.798701 [0.798701,0.798701] area_under_roc_curve 0.857143 [0.857143,0.857143] area_under_roc_curve 0.902597 [0.902597,0.902597] area_under_roc_curve 0.883117 [0.883117,0.883117] area_under_roc_curve 0.87013 [0.87013,0.87013] area_under_roc_curve 0.779221 [0.779221,0.779221] area_under_roc_curve 0.844156 [0.844156,0.844156] area_under_roc_curve 0.909091 [0.909091,0.909091] area_under_roc_curve 0.694805 [0.694805,0.694805] area_under_roc_curve 0.941558 [0.941558,0.941558] area_under_roc_curve 0.668831 [0.668831,0.668831] area_under_roc_curve 0.863636 [0.863636,0.863636] area_under_roc_curve 0.642857 [0.642857,0.642857] area_under_roc_curve 0.746753 [0.746753,0.746753] area_under_roc_curve 0.714286 [0.714286,0.714286] area_under_roc_curve 0.779221 [0.779221,0.779221] area_under_roc_curve 0.837662 [0.837662,0.837662] area_under_roc_curve 0.850649 [0.850649,0.850649] area_under_roc_curve 0.792208 [0.792208,0.792208] area_under_roc_curve 0.818182 [0.818182,0.818182] area_under_roc_curve 0.883117 [0.883117,0.883117] area_under_roc_curve 0.779221 [0.779221,0.779221] area_under_roc_curve 0.792208 [0.792208,0.792208] area_under_roc_curve 0.902597 [0.902597,0.902597] area_under_roc_curve 0.831169 [0.831169,0.831169] area_under_roc_curve 0.720779 [0.720779,0.720779] area_under_roc_curve 0.74026 [0.74026,0.74026] area_under_roc_curve 0.694805 [0.694805,0.694805] area_under_roc_curve 0.727273 [0.727273,0.727273] area_under_roc_curve 0.681818 [0.681818,0.681818] area_under_roc_curve 0.753247 [0.753247,0.753247] area_under_roc_curve 0.753247 [0.753247,0.753247] area_under_roc_curve 0.74026 [0.74026,0.74026] area_under_roc_curve 0.75974 [0.75974,0.75974] area_under_roc_curve 0.837662 [0.837662,0.837662] area_under_roc_curve 0.753247 [0.753247,0.753247] area_under_roc_curve 0.779221 [0.779221,0.779221] area_under_roc_curve 0.623377 [0.623377,0.623377] area_under_roc_curve 0.714286 [0.714286,0.714286] area_under_roc_curve 0.785714 [0.785714,0.785714] area_under_roc_curve 0.727273 [0.727273,0.727273] area_under_roc_curve 0.792208 [0.792208,0.792208] area_under_roc_curve 0.896104 [0.896104,0.896104] area_under_roc_curve 0.824675 [0.824675,0.824675] area_under_roc_curve 0.75974 [0.75974,0.75974] area_under_roc_curve 0.792208 [0.792208,0.792208] area_under_roc_curve 0.844156 [0.844156,0.844156] area_under_roc_curve 0.837662 [0.837662,0.837662] area_under_roc_curve 0.701299 [0.701299,0.701299] area_under_roc_curve 0.863636 [0.863636,0.863636] area_under_roc_curve 0.792208 [0.792208,0.792208] area_under_roc_curve 0.857143 [0.857143,0.857143] area_under_roc_curve 0.818182 [0.818182,0.818182] area_under_roc_curve 0.714286 [0.714286,0.714286] area_under_roc_curve 0.818182 [0.818182,0.818182] area_under_roc_curve 0.876623 [0.876623,0.876623] area_under_roc_curve 0.88961 [0.88961,0.88961] area_under_roc_curve 0.850649 [0.850649,0.850649] area_under_roc_curve 0.824675 [0.824675,0.824675] area_under_roc_curve 0.798701 [0.798701,0.798701] area_under_roc_curve 0.720779 [0.720779,0.720779] area_under_roc_curve 0.733766 [0.733766,0.733766] area_under_roc_curve 0.701299 [0.701299,0.701299] area_under_roc_curve 0.785714 [0.785714,0.785714] area_under_roc_curve 0.74026 [0.74026,0.74026] area_under_roc_curve 0.753247 [0.753247,0.753247] area_under_roc_curve 0.74026 [0.74026,0.74026] area_under_roc_curve 0.753247 [0.753247,0.753247] area_under_roc_curve 0.88961 [0.88961,0.88961] area_under_roc_curve 0.792208 [0.792208,0.792208] area_under_roc_curve 0.909091 [0.909091,0.909091] area_under_roc_curve 0.668831 [0.668831,0.668831] area_under_roc_curve 0.857143 [0.857143,0.857143] area_under_roc_curve 0.88961 [0.88961,0.88961] area_under_roc_curve 0.75974 [0.75974,0.75974] area_under_roc_curve 0.78 [0.78,0.78] area_under_roc_curve 0.753333 [0.753333,0.753333] area_under_roc_curve 0.733766 [0.733766,0.733766] area_under_roc_curve 0.946667 [0.946667,0.946667] area_under_roc_curve 0.686667 [0.686667,0.686667] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.693333 [0.533333,0.8] f_measure 0.801932 [0.782609,0.814815] f_measure 0.682051 [0.666667,0.692308] f_measure 0.56289 [0.47619,0.62069] f_measure 0.762338 [0.727273,0.785714] f_measure 0.837333 [0.8,0.866667] f_measure 0.601282 [0.583333,0.615385] f_measure 0.636333 [0.526316,0.709677] f_measure 0.614332 [0.470588,0.727273] f_measure 0.68 [0.636364,0.714286] f_measure 0.84 [0.818182,0.857143] f_measure 0.593333 [0.5,0.666667] f_measure 0.720902 [0.695652,0.740741] f_measure 0.718161 [0.666667,0.758621] f_measure 0.55711 [0.47619,0.62069] f_measure 0.76 [0.727273,0.785714] f_measure 0.681026 [0.666667,0.692308] f_measure 0.76 [0.727273,0.785714] f_measure 0.800644 [0.782609,0.814815] f_measure 0.601282 [0.583333,0.615385] f_measure 0.798686 [0.761905,0.827586] f_measure 0.798686 [0.761905,0.827586] f_measure 0.78574 [0.705882,0.848485] f_measure 0.76 [0.727273,0.785714] f_measure 0.76 [0.727273,0.785714] f_measure 0.718161 [0.666667,0.758621] f_measure 0.837333 [0.8,0.866667] f_measure 0.837333 [0.8,0.866667] f_measure 0.664444 [0.555556,0.75] f_measure 0.876333 [0.842105,0.903226] f_measure 0.681026 [0.666667,0.692308] f_measure 0.648235 [0.5,0.764706] f_measure 0.641159 [0.608696,0.666667] f_measure 0.580556 [0.444444,0.6875] f_measure 0.64 [0.64,0.64] f_measure 0.798686 [0.761905,0.827586] f_measure 0.800644 [0.782609,0.814815] f_measure 0.68 [0.636364,0.714286] f_measure 0.718161 [0.666667,0.758621] f_measure 0.720902 [0.695652,0.740741] f_measure 0.840513 [0.833333,0.846154] f_measure 0.72 [0.72,0.72] f_measure 0.718161 [0.666667,0.758621] f_measure 0.920256 [0.916667,0.923077] f_measure 0.837333 [0.8,0.866667] f_measure 0.641159 [0.608696,0.666667] f_measure 0.628998 [0.526316,0.709677] f_measure 0.68 [0.636364,0.714286] f_measure 0.637635 [0.571429,0.689655] f_measure 0.546553 [0.421053,0.645161] f_measure 0.628998 [0.526316,0.709677] f_measure 0.68 [0.636364,0.714286] f_measure 0.641159 [0.608696,0.666667] f_measure 0.798686 [0.761905,0.827586] f_measure 0.756 [0.7,0.8] f_measure 0.718161 [0.666667,0.758621] f_measure 0.711443 [0.631579,0.774194] f_measure 0.637635 [0.571429,0.689655] f_measure 0.756 [0.7,0.8] f_measure 0.674667 [0.6,0.733333] f_measure 0.68 [0.636364,0.714286] f_measure 0.76 [0.727273,0.785714] f_measure 0.837333 [0.8,0.866667] f_measure 0.68 [0.636364,0.714286] f_measure 0.76 [0.727273,0.785714] f_measure 0.84 [0.818182,0.857143] f_measure 0.748333 [0.666667,0.8125] f_measure 0.756 [0.7,0.8] f_measure 0.681026 [0.666667,0.692308] f_measure 0.837333 [0.8,0.866667] f_measure 0.711443 [0.631579,0.774194] f_measure 0.879212 [0.857143,0.896552] f_measure 0.84 [0.818182,0.857143] f_measure 0.628998 [0.526316,0.709677] f_measure 0.78574 [0.705882,0.848485] f_measure 0.800644 [0.782609,0.814815] f_measure 0.84 [0.818182,0.857143] f_measure 0.756 [0.7,0.8] f_measure 0.72 [0.72,0.72] f_measure 0.718161 [0.666667,0.758621] f_measure 0.68 [0.636364,0.714286] f_measure 0.718161 [0.666667,0.758621] f_measure 0.593333 [0.5,0.666667] f_measure 0.718161 [0.666667,0.758621] f_measure 0.718161 [0.666667,0.758621] f_measure 0.674667 [0.6,0.733333] f_measure 0.68 [0.636364,0.714286] f_measure 0.72 [0.72,0.72] f_measure 0.798686 [0.761905,0.827586] f_measure 0.756 [0.7,0.8] f_measure 0.800644 [0.782609,0.814815] f_measure 0.637635 [0.571429,0.689655] f_measure 0.748333 [0.666667,0.8125] f_measure 0.837333 [0.8,0.866667] f_measure 0.68 [0.636364,0.714286] f_measure 0.672222 [0.555556,0.75] f_measure 0.76 [0.7,0.8] f_measure 0.837333 [0.8,0.866667] f_measure 0.920779 [0.909091,0.928571] f_measure 0.603896 [0.545455,0.642857] kappa 0.363636 kappa 0.603175 kappa 0.375 kappa 0.098361 kappa 0.516129 kappa 0.668874 kappa 0.203822 kappa 0.237288 kappa 0.232082 kappa 0.350649 kappa 0.675325 kappa 0.172185 kappa 0.437299 kappa 0.42623 kappa 0.098361 kappa 0.512987 kappa 0.363057 kappa 0.512987 kappa 0.598071 kappa 0.203822 kappa 0.590164 kappa 0.590164 kappa 0.573379 kappa 0.512987 kappa 0.512987 kappa 0.42623 kappa 0.668874 kappa 0.668874 kappa 0.324324 kappa 0.749164 kappa 0.363057 kappa 0.310345 kappa 0.276527 kappa 0.155405 kappa 0.290221 kappa 0.590164 kappa 0.598071 kappa 0.350649 kappa 0.42623 kappa 0.437299 kappa 0.681529 kappa 0.44795 kappa 0.42623 kappa 0.840764 kappa 0.668874 kappa 0.276527 kappa 0.247492 kappa 0.350649 kappa 0.262295 kappa 0.080268 kappa 0.247492 kappa 0.350649 kappa 0.276527 kappa 0.590164 kappa 0.503311 kappa 0.42623 kappa 0.414716 kappa 0.262295 kappa 0.503311 kappa 0.337748 kappa 0.350649 kappa 0.512987 kappa 0.668874 kappa 0.350649 kappa 0.512987 kappa 0.675325 kappa 0.493243 kappa 0.503311 kappa 0.363057 kappa 0.668874 kappa 0.414716 kappa 0.754098 kappa 0.675325 kappa 0.247492 kappa 0.573379 kappa 0.598071 kappa 0.675325 kappa 0.503311 kappa 0.44795 kappa 0.42623 kappa 0.350649 kappa 0.42623 kappa 0.172185 kappa 0.42623 kappa 0.42623 kappa 0.337748 kappa 0.350649 kappa 0.44795 kappa 0.590164 kappa 0.503311 kappa 0.598071 kappa 0.262295 kappa 0.493243 kappa 0.668874 kappa 0.350649 kappa 0.310345 kappa 0.5 kappa 0.668874 kappa 0.83871 kappa 0.193548 kb_relative_information_score 6.754082 kb_relative_information_score 8.583399 kb_relative_information_score 4.094121 kb_relative_information_score 0.315013 kb_relative_information_score 8.068454 kb_relative_information_score 8.190783 kb_relative_information_score 2.058832 kb_relative_information_score 6.206711 kb_relative_information_score 4.360583 kb_relative_information_score 5.828234 kb_relative_information_score 6.495538 kb_relative_information_score 3.029734 kb_relative_information_score 5.359808 kb_relative_information_score 5.407695 kb_relative_information_score 0.402181 kb_relative_information_score 7.612089 kb_relative_information_score 3.556403 kb_relative_information_score 4.656797 kb_relative_information_score 8.818229 kb_relative_information_score 2.706229 kb_relative_information_score 7.503913 kb_relative_information_score 7.005385 kb_relative_information_score 8.624542 kb_relative_information_score 7.243051 kb_relative_information_score 8.144924 kb_relative_information_score 6.755972 kb_relative_information_score 7.592389 kb_relative_information_score 9.358467 kb_relative_information_score 5.354695 kb_relative_information_score 9.4368 kb_relative_information_score 4.445909 kb_relative_information_score 7.255632 kb_relative_information_score 3.61461 kb_relative_information_score 5.350262 kb_relative_information_score 4.957001 kb_relative_information_score 6.615813 kb_relative_information_score 8.232842 kb_relative_information_score 8.219919 kb_relative_information_score 5.921584 kb_relative_information_score 6.840971 kb_relative_information_score 6.85162 kb_relative_information_score 6.723863 kb_relative_information_score 6.985592 kb_relative_information_score 9.342976 kb_relative_information_score 8.528758 kb_relative_information_score 3.547627 kb_relative_information_score 5.061724 kb_relative_information_score 5.049539 kb_relative_information_score 4.819614 kb_relative_information_score 4.161805 kb_relative_information_score 5.232357 kb_relative_information_score 5.673012 kb_relative_information_score 6.294844 kb_relative_information_score 5.853166 kb_relative_information_score 8.420814 kb_relative_information_score 6.40259 kb_relative_information_score 6.83452 kb_relative_information_score 2.70828 kb_relative_information_score 5.194431 kb_relative_information_score 5.944202 kb_relative_information_score 4.55198 kb_relative_information_score 6.099191 kb_relative_information_score 9.142094 kb_relative_information_score 7.812659 kb_relative_information_score 5.781853 kb_relative_information_score 5.08799 kb_relative_information_score 7.858446 kb_relative_information_score 7.356418 kb_relative_information_score 4.624106 kb_relative_information_score 9.810046 kb_relative_information_score 7.21593 kb_relative_information_score 8.822546 kb_relative_information_score 7.656846 kb_relative_information_score 5.304596 kb_relative_information_score 7.403907 kb_relative_information_score 8.29945 kb_relative_information_score 10.050337 kb_relative_information_score 8.853869 kb_relative_information_score 7.289888 kb_relative_information_score 6.103884 kb_relative_information_score 4.63759 kb_relative_information_score 5.061982 kb_relative_information_score 4.532317 kb_relative_information_score 6.294521 kb_relative_information_score 5.011037 kb_relative_information_score 5.362545 kb_relative_information_score 6.12353 kb_relative_information_score 5.533607 kb_relative_information_score 8.275717 kb_relative_information_score 6.752635 kb_relative_information_score 10.556916 kb_relative_information_score 3.652245 kb_relative_information_score 7.900946 kb_relative_information_score 9.607718 kb_relative_information_score 6.196062 kb_relative_information_score 6.295952 kb_relative_information_score 4.726127 kb_relative_information_score 5.404541 kb_relative_information_score 9.780654 kb_relative_information_score 3.610729 mean_absolute_error 0.36161 mean_absolute_error 0.335094 mean_absolute_error 0.413546 mean_absolute_error 0.478383 mean_absolute_error 0.345483 mean_absolute_error 0.353433 mean_absolute_error 0.45711 mean_absolute_error 0.366121 mean_absolute_error 0.412736 mean_absolute_error 0.387324 mean_absolute_error 0.386434 mean_absolute_error 0.435932 mean_absolute_error 0.401326 mean_absolute_error 0.395472 mean_absolute_error 0.482551 mean_absolute_error 0.355098 mean_absolute_error 0.430143 mean_absolute_error 0.411803 mean_absolute_error 0.335477 mean_absolute_error 0.439 mean_absolute_error 0.360538 mean_absolute_error 0.370867 mean_absolute_error 0.340657 mean_absolute_error 0.366141 mean_absolute_error 0.34755 mean_absolute_error 0.368049 mean_absolute_error 0.36301 mean_absolute_error 0.32746 mean_absolute_error 0.395489 mean_absolute_error 0.328537 mean_absolute_error 0.411352 mean_absolute_error 0.358039 mean_absolute_error 0.427373 mean_absolute_error 0.39053 mean_absolute_error 0.400176 mean_absolute_error 0.375092 mean_absolute_error 0.34635 mean_absolute_error 0.340834 mean_absolute_error 0.389974 mean_absolute_error 0.373761 mean_absolute_error 0.380526 mean_absolute_error 0.372838 mean_absolute_error 0.367078 mean_absolute_error 0.333829 mean_absolute_error 0.343112 mean_absolute_error 0.430588 mean_absolute_error 0.398324 mean_absolute_error 0.403227 mean_absolute_error 0.399303 mean_absolute_error 0.410419 mean_absolute_error 0.393388 mean_absolute_error 0.38877 mean_absolute_error 0.372312 mean_absolute_error 0.392848 mean_absolute_error 0.341803 mean_absolute_error 0.374271 mean_absolute_error 0.369516 mean_absolute_error 0.442951 mean_absolute_error 0.405261 mean_absolute_error 0.386669 mean_absolute_error 0.412447 mean_absolute_error 0.389607 mean_absolute_error 0.330697 mean_absolute_error 0.350344 mean_absolute_error 0.391547 mean_absolute_error 0.40772 mean_absolute_error 0.35034 mean_absolute_error 0.3641 mean_absolute_error 0.409703 mean_absolute_error 0.320068 mean_absolute_error 0.35929 mean_absolute_error 0.33978 mean_absolute_error 0.360073 mean_absolute_error 0.394362 mean_absolute_error 0.364365 mean_absolute_error 0.346393 mean_absolute_error 0.313705 mean_absolute_error 0.33317 mean_absolute_error 0.363408 mean_absolute_error 0.3853 mean_absolute_error 0.408251 mean_absolute_error 0.401667 mean_absolute_error 0.408422 mean_absolute_error 0.379807 mean_absolute_error 0.402517 mean_absolute_error 0.394907 mean_absolute_error 0.380282 mean_absolute_error 0.397175 mean_absolute_error 0.347208 mean_absolute_error 0.374661 mean_absolute_error 0.301487 mean_absolute_error 0.42637 mean_absolute_error 0.35352 mean_absolute_error 0.323522 mean_absolute_error 0.383266 mean_absolute_error 0.373044 mean_absolute_error 0.405707 mean_absolute_error 0.408746 mean_absolute_error 0.313801 mean_absolute_error 0.416423 mean_prior_absolute_error 0.487302 mean_prior_absolute_error 0.487302 mean_prior_absolute_error 0.487302 mean_prior_absolute_error 0.487302 mean_prior_absolute_error 0.487302 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.487302 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.487302 mean_prior_absolute_error 0.487302 mean_prior_absolute_error 0.492381 mean_prior_absolute_error 0.487302 mean_prior_absolute_error 0.487302 number_of_instances 25 [10,15] number_of_instances 25 [10,15] number_of_instances 25 [10,15] number_of_instances 25 [10,15] number_of_instances 25 [10,15] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [10,15] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [10,15] number_of_instances 25 [10,15] number_of_instances 25 [11,14] number_of_instances 25 [10,15] number_of_instances 25 [10,15] precision 0.74 [0.8,0.7] precision 0.826923 [0.692308,0.916667] precision 0.719481 [0.571429,0.818182] precision 0.567532 [0.454545,0.642857] precision 0.774359 [0.666667,0.846154] precision 0.846111 [0.888889,0.8125] precision 0.610256 [0.538462,0.666667] precision 0.634722 [0.555556,0.6875] precision 0.647018 [0.666667,0.631579] precision 0.68 [0.636364,0.714286] precision 0.84 [0.818182,0.857143] precision 0.594444 [0.555556,0.625] precision 0.724103 [0.666667,0.769231] precision 0.718667 [0.7,0.733333] precision 0.556 [0.5,0.6] precision 0.76 [0.727273,0.785714] precision 0.690769 [0.615385,0.75] precision 0.76 [0.727273,0.785714] precision 0.803846 [0.75,0.846154] precision 0.610256 [0.538462,0.666667] precision 0.8 [0.8,0.8] precision 0.8 [0.8,0.8] precision 0.852632 [1,0.736842] precision 0.76 [0.727273,0.785714] precision 0.76 [0.727273,0.785714] precision 0.718667 [0.7,0.733333] precision 0.846111 [0.888889,0.8125] precision 0.846111 [0.888889,0.8125] precision 0.687619 [0.714286,0.666667] precision 0.901176 [1,0.823529] precision 0.690769 [0.615385,0.75] precision 0.716 [0.8,0.65] precision 0.644359 [0.583333,0.692308] precision 0.593651 [0.571429,0.611111] precision 0.658701 [0.571429,0.727273] precision 0.8 [0.8,0.8] precision 0.803846 [0.75,0.846154] precision 0.68 [0.636364,0.714286] precision 0.718667 [0.7,0.733333] precision 0.724103 [0.666667,0.769231] precision 0.851795 [0.769231,0.916667] precision 0.741039 [0.642857,0.818182] precision 0.718667 [0.7,0.733333] precision 0.932308 [0.846154,1] precision 0.846111 [0.888889,0.8125] precision 0.644359 [0.583333,0.692308] precision 0.637353 [0.625,0.647059] precision 0.68 [0.636364,0.714286] precision 0.637333 [0.6,0.666667] precision 0.549412 [0.5,0.588235] precision 0.637353 [0.625,0.647059] precision 0.68 [0.636364,0.714286] precision 0.644359 [0.583333,0.692308] precision 0.8 [0.8,0.8] precision 0.762222 [0.777778,0.75] precision 0.718667 [0.7,0.733333] precision 0.725294 [0.75,0.705882] precision 0.637333 [0.6,0.666667] precision 0.762222 [0.777778,0.75] precision 0.678333 [0.666667,0.6875] precision 0.68 [0.636364,0.714286] precision 0.76 [0.727273,0.785714] precision 0.846111 [0.888889,0.8125] precision 0.68 [0.636364,0.714286] precision 0.76 [0.727273,0.785714] precision 0.84 [0.818182,0.857143] precision 0.781587 [0.857143,0.722222] precision 0.762222 [0.777778,0.75] precision 0.690769 [0.615385,0.75] precision 0.846111 [0.888889,0.8125] precision 0.725294 [0.75,0.705882] precision 0.881333 [0.9,0.866667] precision 0.84 [0.818182,0.857143] precision 0.637353 [0.625,0.647059] precision 0.852632 [1,0.736842] precision 0.803846 [0.75,0.846154] precision 0.84 [0.818182,0.857143] precision 0.762222 [0.777778,0.75] precision 0.741039 [0.642857,0.818182] precision 0.718667 [0.7,0.733333] precision 0.68 [0.636364,0.714286] precision 0.718667 [0.7,0.733333] precision 0.594444 [0.555556,0.625] precision 0.718667 [0.7,0.733333] precision 0.718667 [0.7,0.733333] precision 0.678333 [0.666667,0.6875] precision 0.68 [0.636364,0.714286] precision 0.741039 [0.642857,0.818182] precision 0.8 [0.8,0.8] precision 0.762222 [0.777778,0.75] precision 0.803846 [0.75,0.846154] precision 0.637333 [0.6,0.666667] precision 0.781587 [0.857143,0.722222] precision 0.846111 [0.888889,0.8125] precision 0.68 [0.636364,0.714286] precision 0.673529 [0.625,0.705882] precision 0.76 [0.7,0.8] precision 0.846111 [0.888889,0.8125] precision 0.933333 [0.833333,1] precision 0.615385 [0.5,0.692308] predictive_accuracy 0.72 predictive_accuracy 0.8 predictive_accuracy 0.68 predictive_accuracy 0.56 predictive_accuracy 0.76 predictive_accuracy 0.84 predictive_accuracy 0.6 predictive_accuracy 0.64 predictive_accuracy 0.64 predictive_accuracy 0.68 predictive_accuracy 0.84 predictive_accuracy 0.6 predictive_accuracy 0.72 predictive_accuracy 0.72 predictive_accuracy 0.56 predictive_accuracy 0.76 predictive_accuracy 0.68 predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.72 predictive_accuracy 0.84 predictive_accuracy 0.84 predictive_accuracy 0.68 predictive_accuracy 0.88 predictive_accuracy 0.68 predictive_accuracy 0.68 predictive_accuracy 0.64 predictive_accuracy 0.6 predictive_accuracy 0.64 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.68 predictive_accuracy 0.72 predictive_accuracy 0.72 predictive_accuracy 0.84 predictive_accuracy 0.72 predictive_accuracy 0.72 predictive_accuracy 0.92 predictive_accuracy 0.84 predictive_accuracy 0.64 predictive_accuracy 0.64 predictive_accuracy 0.68 predictive_accuracy 0.64 predictive_accuracy 0.56 predictive_accuracy 0.64 predictive_accuracy 0.68 predictive_accuracy 0.64 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.72 predictive_accuracy 0.72 predictive_accuracy 0.64 predictive_accuracy 0.76 predictive_accuracy 0.68 predictive_accuracy 0.68 predictive_accuracy 0.76 predictive_accuracy 0.84 predictive_accuracy 0.68 predictive_accuracy 0.76 predictive_accuracy 0.84 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.68 predictive_accuracy 0.84 predictive_accuracy 0.72 predictive_accuracy 0.88 predictive_accuracy 0.84 predictive_accuracy 0.64 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.84 predictive_accuracy 0.76 predictive_accuracy 0.72 predictive_accuracy 0.72 predictive_accuracy 0.68 predictive_accuracy 0.72 predictive_accuracy 0.6 predictive_accuracy 0.72 predictive_accuracy 0.72 predictive_accuracy 0.68 predictive_accuracy 0.68 predictive_accuracy 0.72 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.64 predictive_accuracy 0.76 predictive_accuracy 0.84 predictive_accuracy 0.68 predictive_accuracy 0.68 predictive_accuracy 0.76 predictive_accuracy 0.84 predictive_accuracy 0.92 predictive_accuracy 0.6 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 prior_entropy 0.988337 recall 0.72 [0.4,0.933333] recall 0.8 [0.9,0.733333] recall 0.68 [0.8,0.6] recall 0.56 [0.5,0.6] recall 0.76 [0.8,0.733333] recall 0.84 [0.727273,0.928571] recall 0.6 [0.636364,0.571429] recall 0.64 [0.5,0.733333] recall 0.64 [0.363636,0.857143] recall 0.68 [0.636364,0.714286] recall 0.84 [0.818182,0.857143] recall 0.6 [0.454545,0.714286] recall 0.72 [0.727273,0.714286] recall 0.72 [0.636364,0.785714] recall 0.56 [0.454545,0.642857] recall 0.76 [0.727273,0.785714] recall 0.68 [0.727273,0.642857] recall 0.76 [0.727273,0.785714] recall 0.8 [0.818182,0.785714] recall 0.6 [0.636364,0.571429] recall 0.8 [0.727273,0.857143] recall 0.8 [0.727273,0.857143] recall 0.8 [0.545455,1] recall 0.76 [0.727273,0.785714] recall 0.76 [0.727273,0.785714] recall 0.72 [0.636364,0.785714] recall 0.84 [0.727273,0.928571] recall 0.84 [0.727273,0.928571] recall 0.68 [0.454545,0.857143] recall 0.88 [0.727273,1] recall 0.68 [0.727273,0.642857] recall 0.68 [0.363636,0.928571] recall 0.64 [0.636364,0.642857] recall 0.6 [0.363636,0.785714] recall 0.64 [0.727273,0.571429] recall 0.8 [0.727273,0.857143] recall 0.8 [0.818182,0.785714] recall 0.68 [0.636364,0.714286] recall 0.72 [0.636364,0.785714] recall 0.72 [0.727273,0.714286] recall 0.84 [0.909091,0.785714] recall 0.72 [0.818182,0.642857] recall 0.72 [0.636364,0.785714] recall 0.92 [1,0.857143] recall 0.84 [0.727273,0.928571] recall 0.64 [0.636364,0.642857] recall 0.64 [0.454545,0.785714] recall 0.68 [0.636364,0.714286] recall 0.64 [0.545455,0.714286] recall 0.56 [0.363636,0.714286] recall 0.64 [0.454545,0.785714] recall 0.68 [0.636364,0.714286] recall 0.64 [0.636364,0.642857] recall 0.8 [0.727273,0.857143] recall 0.76 [0.636364,0.857143] recall 0.72 [0.636364,0.785714] recall 0.72 [0.545455,0.857143] recall 0.64 [0.545455,0.714286] recall 0.76 [0.636364,0.857143] recall 0.68 [0.545455,0.785714] recall 0.68 [0.636364,0.714286] recall 0.76 [0.727273,0.785714] recall 0.84 [0.727273,0.928571] recall 0.68 [0.636364,0.714286] recall 0.76 [0.727273,0.785714] recall 0.84 [0.818182,0.857143] recall 0.76 [0.545455,0.928571] recall 0.76 [0.636364,0.857143] recall 0.68 [0.727273,0.642857] recall 0.84 [0.727273,0.928571] recall 0.72 [0.545455,0.857143] recall 0.88 [0.818182,0.928571] recall 0.84 [0.818182,0.857143] recall 0.64 [0.454545,0.785714] recall 0.8 [0.545455,1] recall 0.8 [0.818182,0.785714] recall 0.84 [0.818182,0.857143] recall 0.76 [0.636364,0.857143] recall 0.72 [0.818182,0.642857] recall 0.72 [0.636364,0.785714] recall 0.68 [0.636364,0.714286] recall 0.72 [0.636364,0.785714] recall 0.6 [0.454545,0.714286] recall 0.72 [0.636364,0.785714] recall 0.72 [0.636364,0.785714] recall 0.68 [0.545455,0.785714] recall 0.68 [0.636364,0.714286] recall 0.72 [0.818182,0.642857] recall 0.8 [0.727273,0.857143] recall 0.76 [0.636364,0.857143] recall 0.8 [0.818182,0.785714] recall 0.64 [0.545455,0.714286] recall 0.76 [0.545455,0.928571] recall 0.84 [0.727273,0.928571] recall 0.68 [0.636364,0.714286] recall 0.68 [0.5,0.8] recall 0.76 [0.7,0.8] recall 0.84 [0.727273,0.928571] recall 0.92 [1,0.866667] recall 0.6 [0.6,0.6] relative_absolute_error 0.742065 relative_absolute_error 0.687652 relative_absolute_error 0.848645 relative_absolute_error 0.981698 relative_absolute_error 0.708971 relative_absolute_error 0.717803 relative_absolute_error 0.928366 relative_absolute_error 0.751323 relative_absolute_error 0.838246 relative_absolute_error 0.786635 relative_absolute_error 0.784827 relative_absolute_error 0.885354 relative_absolute_error 0.815073 relative_absolute_error 0.803182 relative_absolute_error 0.980036 relative_absolute_error 0.721186 relative_absolute_error 0.873598 relative_absolute_error 0.836351 relative_absolute_error 0.681336 relative_absolute_error 0.891587 relative_absolute_error 0.732235 relative_absolute_error 0.753211 relative_absolute_error 0.691856 relative_absolute_error 0.743614 relative_absolute_error 0.705856 relative_absolute_error 0.747487 relative_absolute_error 0.737254 relative_absolute_error 0.665055 relative_absolute_error 0.803218 relative_absolute_error 0.667242 relative_absolute_error 0.835435 relative_absolute_error 0.727158 relative_absolute_error 0.867971 relative_absolute_error 0.793145 relative_absolute_error 0.812737 relative_absolute_error 0.761791 relative_absolute_error 0.703418 relative_absolute_error 0.692216 relative_absolute_error 0.792017 relative_absolute_error 0.759089 relative_absolute_error 0.772828 relative_absolute_error 0.757214 relative_absolute_error 0.745516 relative_absolute_error 0.677989 relative_absolute_error 0.696843 relative_absolute_error 0.874501 relative_absolute_error 0.808974 relative_absolute_error 0.818934 relative_absolute_error 0.810963 relative_absolute_error 0.83354 relative_absolute_error 0.798951 relative_absolute_error 0.789571 relative_absolute_error 0.756147 relative_absolute_error 0.797854 relative_absolute_error 0.694185 relative_absolute_error 0.760124 relative_absolute_error 0.750467 relative_absolute_error 0.89961 relative_absolute_error 0.823063 relative_absolute_error 0.785304 relative_absolute_error 0.837659 relative_absolute_error 0.791272 relative_absolute_error 0.671629 relative_absolute_error 0.71153 relative_absolute_error 0.795211 relative_absolute_error 0.828059 relative_absolute_error 0.711522 relative_absolute_error 0.739468 relative_absolute_error 0.832085 relative_absolute_error 0.650042 relative_absolute_error 0.7297 relative_absolute_error 0.690075 relative_absolute_error 0.731289 relative_absolute_error 0.800929 relative_absolute_error 0.740006 relative_absolute_error 0.703505 relative_absolute_error 0.637119 relative_absolute_error 0.67665 relative_absolute_error 0.738064 relative_absolute_error 0.782525 relative_absolute_error 0.829137 relative_absolute_error 0.815764 relative_absolute_error 0.829484 relative_absolute_error 0.771368 relative_absolute_error 0.817492 relative_absolute_error 0.802035 relative_absolute_error 0.772333 relative_absolute_error 0.806641 relative_absolute_error 0.705162 relative_absolute_error 0.760918 relative_absolute_error 0.612304 relative_absolute_error 0.865935 relative_absolute_error 0.717981 relative_absolute_error 0.657057 relative_absolute_error 0.778392 relative_absolute_error 0.76553 relative_absolute_error 0.832558 relative_absolute_error 0.830142 relative_absolute_error 0.643957 relative_absolute_error 0.854549 root_mean_prior_squared_error 0.491256 root_mean_prior_squared_error 0.491256 root_mean_prior_squared_error 0.491256 root_mean_prior_squared_error 0.491256 root_mean_prior_squared_error 0.491256 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.491256 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.491256 root_mean_prior_squared_error 0.491256 root_mean_prior_squared_error 0.496399 root_mean_prior_squared_error 0.491256 root_mean_prior_squared_error 0.491256 root_mean_squared_error 0.461409 root_mean_squared_error 0.396131 root_mean_squared_error 0.469374 root_mean_squared_error 0.525275 root_mean_squared_error 0.398842 root_mean_squared_error 0.39476 root_mean_squared_error 0.500757 root_mean_squared_error 0.445035 root_mean_squared_error 0.477984 root_mean_squared_error 0.454894 root_mean_squared_error 0.410998 root_mean_squared_error 0.522214 root_mean_squared_error 0.442239 root_mean_squared_error 0.459002 root_mean_squared_error 0.54285 root_mean_squared_error 0.419773 root_mean_squared_error 0.474963 root_mean_squared_error 0.451209 root_mean_squared_error 0.404029 root_mean_squared_error 0.504609 root_mean_squared_error 0.417158 root_mean_squared_error 0.407376 root_mean_squared_error 0.394578 root_mean_squared_error 0.400751 root_mean_squared_error 0.392813 root_mean_squared_error 0.437893 root_mean_squared_error 0.405607 root_mean_squared_error 0.374955 root_mean_squared_error 0.477772 root_mean_squared_error 0.370487 root_mean_squared_error 0.469239 root_mean_squared_error 0.41573 root_mean_squared_error 0.491096 root_mean_squared_error 0.456027 root_mean_squared_error 0.459619 root_mean_squared_error 0.437593 root_mean_squared_error 0.402252 root_mean_squared_error 0.410631 root_mean_squared_error 0.427023 root_mean_squared_error 0.419155 root_mean_squared_error 0.40823 root_mean_squared_error 0.426285 root_mean_squared_error 0.433066 root_mean_squared_error 0.377934 root_mean_squared_error 0.400729 root_mean_squared_error 0.474445 root_mean_squared_error 0.473192 root_mean_squared_error 0.458096 root_mean_squared_error 0.453816 root_mean_squared_error 0.473605 root_mean_squared_error 0.460976 root_mean_squared_error 0.4506 root_mean_squared_error 0.432039 root_mean_squared_error 0.440959 root_mean_squared_error 0.396506 root_mean_squared_error 0.449267 root_mean_squared_error 0.437641 root_mean_squared_error 0.492585 root_mean_squared_error 0.451014 root_mean_squared_error 0.428636 root_mean_squared_error 0.453307 root_mean_squared_error 0.434067 root_mean_squared_error 0.383011 root_mean_squared_error 0.415806 root_mean_squared_error 0.437403 root_mean_squared_error 0.448177 root_mean_squared_error 0.410795 root_mean_squared_error 0.407915 root_mean_squared_error 0.460897 root_mean_squared_error 0.379184 root_mean_squared_error 0.438817 root_mean_squared_error 0.388634 root_mean_squared_error 0.413338 root_mean_squared_error 0.460835 root_mean_squared_error 0.410015 root_mean_squared_error 0.389655 root_mean_squared_error 0.372397 root_mean_squared_error 0.403001 root_mean_squared_error 0.419025 root_mean_squared_error 0.428778 root_mean_squared_error 0.454504 root_mean_squared_error 0.447106 root_mean_squared_error 0.459502 root_mean_squared_error 0.427982 root_mean_squared_error 0.454244 root_mean_squared_error 0.453042 root_mean_squared_error 0.453425 root_mean_squared_error 0.454384 root_mean_squared_error 0.387758 root_mean_squared_error 0.430994 root_mean_squared_error 0.358283 root_mean_squared_error 0.479691 root_mean_squared_error 0.402407 root_mean_squared_error 0.381812 root_mean_squared_error 0.44694 root_mean_squared_error 0.425717 root_mean_squared_error 0.443753 root_mean_squared_error 0.449894 root_mean_squared_error 0.357388 root_mean_squared_error 0.488851 root_relative_squared_error 0.939242 root_relative_squared_error 0.806364 root_relative_squared_error 0.955456 root_relative_squared_error 1.069247 root_relative_squared_error 0.811882 root_relative_squared_error 0.795248 root_relative_squared_error 1.008778 root_relative_squared_error 0.905912 root_relative_squared_error 0.962902 root_relative_squared_error 0.916387 root_relative_squared_error 0.827959 root_relative_squared_error 1.052005 root_relative_squared_error 0.890894 root_relative_squared_error 0.924664 root_relative_squared_error 1.093576 root_relative_squared_error 0.845635 root_relative_squared_error 0.956817 root_relative_squared_error 0.908964 root_relative_squared_error 0.813919 root_relative_squared_error 1.016539 root_relative_squared_error 0.840368 root_relative_squared_error 0.820662 root_relative_squared_error 0.794881 root_relative_squared_error 0.807317 root_relative_squared_error 0.791325 root_relative_squared_error 0.882139 root_relative_squared_error 0.817098 root_relative_squared_error 0.755349 root_relative_squared_error 0.962475 root_relative_squared_error 0.746348 root_relative_squared_error 0.945286 root_relative_squared_error 0.837491 root_relative_squared_error 0.989317 root_relative_squared_error 0.91867 root_relative_squared_error 0.925907 root_relative_squared_error 0.881535 root_relative_squared_error 0.810339 root_relative_squared_error 0.82722 root_relative_squared_error 0.860242 root_relative_squared_error 0.844392 root_relative_squared_error 0.822382 root_relative_squared_error 0.858754 root_relative_squared_error 0.872415 root_relative_squared_error 0.76135 root_relative_squared_error 0.807272 root_relative_squared_error 0.955773 root_relative_squared_error 0.953249 root_relative_squared_error 0.922837 root_relative_squared_error 0.914216 root_relative_squared_error 0.954081 root_relative_squared_error 0.928639 root_relative_squared_error 0.907737 root_relative_squared_error 0.870345 root_relative_squared_error 0.888314 root_relative_squared_error 0.798765 root_relative_squared_error 0.905051 root_relative_squared_error 0.88163 root_relative_squared_error 0.992317 root_relative_squared_error 0.908572 root_relative_squared_error 0.863491 root_relative_squared_error 0.913191 root_relative_squared_error 0.874431 root_relative_squared_error 0.771578 root_relative_squared_error 0.837644 root_relative_squared_error 0.881152 root_relative_squared_error 0.902856 root_relative_squared_error 0.82755 root_relative_squared_error 0.821748 root_relative_squared_error 0.928481 root_relative_squared_error 0.763869 root_relative_squared_error 0.884 root_relative_squared_error 0.782906 root_relative_squared_error 0.832673 root_relative_squared_error 0.928357 root_relative_squared_error 0.825978 root_relative_squared_error 0.784963 root_relative_squared_error 0.750197 root_relative_squared_error 0.811849 root_relative_squared_error 0.844129 root_relative_squared_error 0.863777 root_relative_squared_error 0.915602 root_relative_squared_error 0.900699 root_relative_squared_error 0.925671 root_relative_squared_error 0.862172 root_relative_squared_error 0.915079 root_relative_squared_error 0.912656 root_relative_squared_error 0.913427 root_relative_squared_error 0.915361 root_relative_squared_error 0.781142 root_relative_squared_error 0.86824 root_relative_squared_error 0.721763 root_relative_squared_error 0.966341 root_relative_squared_error 0.810652 root_relative_squared_error 0.769163 root_relative_squared_error 0.900364 root_relative_squared_error 0.866589 root_relative_squared_error 0.903301 root_relative_squared_error 0.906315 root_relative_squared_error 0.727498 root_relative_squared_error 0.995105 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 230 usercpu_time_millis 200 usercpu_time_millis 210 usercpu_time_millis 190 usercpu_time_millis 190 usercpu_time_millis 210 usercpu_time_millis 210 usercpu_time_millis 180 usercpu_time_millis 210 usercpu_time_millis 210 usercpu_time_millis 200 usercpu_time_millis 230 usercpu_time_millis 230 usercpu_time_millis 200 usercpu_time_millis 220 usercpu_time_millis 180 usercpu_time_millis 220 usercpu_time_millis 210 usercpu_time_millis 190 usercpu_time_millis 220 usercpu_time_millis 220 usercpu_time_millis 210 usercpu_time_millis 210 usercpu_time_millis 190 usercpu_time_millis 230 usercpu_time_millis 190 usercpu_time_millis 230 usercpu_time_millis 190 usercpu_time_millis 290 usercpu_time_millis 230 usercpu_time_millis 210 usercpu_time_millis 200 usercpu_time_millis 220 usercpu_time_millis 210 usercpu_time_millis 210 usercpu_time_millis 210 usercpu_time_millis 210 usercpu_time_millis 230 usercpu_time_millis 240 usercpu_time_millis 240 usercpu_time_millis 220 usercpu_time_millis 210 usercpu_time_millis 290 usercpu_time_millis 220 usercpu_time_millis 230 usercpu_time_millis 230 usercpu_time_millis 220 usercpu_time_millis 230 usercpu_time_millis 250 usercpu_time_millis 210 usercpu_time_millis 200 usercpu_time_millis 210 usercpu_time_millis 220 usercpu_time_millis 200 usercpu_time_millis 230 usercpu_time_millis 210 usercpu_time_millis 210 usercpu_time_millis 190 usercpu_time_millis 220 usercpu_time_millis 210 usercpu_time_millis 230 usercpu_time_millis 200 usercpu_time_millis 220 usercpu_time_millis 200 usercpu_time_millis 190 usercpu_time_millis 180 usercpu_time_millis 210 usercpu_time_millis 200 usercpu_time_millis 210 usercpu_time_millis 210 usercpu_time_millis 240 usercpu_time_millis 220 usercpu_time_millis 260 usercpu_time_millis 200 usercpu_time_millis 190 usercpu_time_millis 210 usercpu_time_millis 210 usercpu_time_millis 210 usercpu_time_millis 220 usercpu_time_millis 210 usercpu_time_millis 230 usercpu_time_millis 210 usercpu_time_millis 200 usercpu_time_millis 230 usercpu_time_millis 180 usercpu_time_millis 200 usercpu_time_millis 220 usercpu_time_millis 220 usercpu_time_millis 210 usercpu_time_millis 220 usercpu_time_millis 230 usercpu_time_millis 180 usercpu_time_millis 200 usercpu_time_millis 220 usercpu_time_millis 210 usercpu_time_millis 240 usercpu_time_millis 190 usercpu_time_millis 200 usercpu_time_millis 220 usercpu_time_millis 220 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 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 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 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usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 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_training 230 usercpu_time_millis_training 200 usercpu_time_millis_training 210 usercpu_time_millis_training 190 usercpu_time_millis_training 190 usercpu_time_millis_training 210 usercpu_time_millis_training 210 usercpu_time_millis_training 180 usercpu_time_millis_training 210 usercpu_time_millis_training 210 usercpu_time_millis_training 200 usercpu_time_millis_training 230 usercpu_time_millis_training 230 usercpu_time_millis_training 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