278111 1 Jan van Rijn 4400 Supervised Classification predictive_accuracy 1089 weka.ExtraTree(1) 1859 weka.classifiers.trees.ExtraTree -- -K -1 -N -1 -S 1 K -1 1089 N -1 1089 S 1 1089 weka weka_3.7.12 830 fri_c2_250_10 https://www.openml.org/data/download/53364/fri_c2_250_10.arff -1 933544 description https://api.openml.org/data/download/933544/weka_generated_run6386086389663378163.xml -1 933547 model_readable https://api.openml.org/data/download/933547/WekaModel_weka.classifiers.trees.ExtraTree8546928200638929237.model -1 933546 model_serialized https://api.openml.org/data/download/933546/WekaSerialized_weka.classifiers.trees.ExtraTree1944916902181022056.model -1 933545 predictions https://api.openml.org/data/download/933545/weka_generated_predictions5794139570468616403.arff area_under_roc_curve 0.749544 [0.749544,0.749544] average_cost 0 f_measure 0.768318 [0.681343,0.818096] kappa 0.49944 kb_relative_information_score 1207.98331 mean_absolute_error 0.2316 mean_prior_absolute_error 0.463302 number_of_instances 2500 [910,1590] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.768238 [0.68247,0.817326] predictive_accuracy 0.7684 prior_entropy 0.946819 recall 0.7684 [0.68022,0.818868] relative_absolute_error 0.49989 root_mean_prior_squared_error 0.48115 root_mean_squared_error 0.481248 root_relative_squared_error 1.000205 scimark_benchmark 1360.277112 [813.9246558745155, 1010.1992026725918, 543.1167552027886, 1106.0927691431245, 3328.0521768167096] total_cost 0 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 area_under_roc_curve 0.715278 [0.715278,0.715278] area_under_roc_curve 0.795139 [0.795139,0.795139] area_under_roc_curve 0.788194 [0.788194,0.788194] area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.881944 [0.881944,0.881944] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.766667 [0.766667,0.766667] area_under_roc_curve 0.819444 [0.819444,0.819444] area_under_roc_curve 0.783333 [0.783333,0.783333] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.690972 [0.690972,0.690972] area_under_roc_curve 0.826389 [0.826389,0.826389] area_under_roc_curve 0.819444 [0.819444,0.819444] area_under_roc_curve 0.96875 [0.96875,0.96875] area_under_roc_curve 0.857639 [0.857639,0.857639] area_under_roc_curve 0.715278 [0.715278,0.715278] area_under_roc_curve 0.715278 [0.715278,0.715278] area_under_roc_curve 0.684028 [0.684028,0.684028] area_under_roc_curve 0.944444 [0.944444,0.944444] area_under_roc_curve 0.9375 [0.9375,0.9375] area_under_roc_curve 0.628472 [0.628472,0.628472] area_under_roc_curve 0.677083 [0.677083,0.677083] area_under_roc_curve 0.819444 [0.819444,0.819444] area_under_roc_curve 0.770833 [0.770833,0.770833] area_under_roc_curve 0.802083 [0.802083,0.802083] area_under_roc_curve 0.652778 [0.652778,0.652778] area_under_roc_curve 0.850694 [0.850694,0.850694] area_under_roc_curve 0.802083 [0.802083,0.802083] area_under_roc_curve 0.84375 [0.84375,0.84375] area_under_roc_curve 0.652778 [0.652778,0.652778] area_under_roc_curve 0.479167 [0.479167,0.479167] area_under_roc_curve 0.763889 [0.763889,0.763889] area_under_roc_curve 0.9375 [0.9375,0.9375] area_under_roc_curve 0.913194 [0.913194,0.913194] area_under_roc_curve 0.763889 [0.763889,0.763889] area_under_roc_curve 0.802083 [0.802083,0.802083] area_under_roc_curve 0.881944 [0.881944,0.881944] area_under_roc_curve 0.597222 [0.597222,0.597222] area_under_roc_curve 0.746528 [0.746528,0.746528] area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.652778 [0.652778,0.652778] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.819444 [0.819444,0.819444] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.850694 [0.850694,0.850694] area_under_roc_curve 0.597222 [0.597222,0.597222] area_under_roc_curve 0.96875 [0.96875,0.96875] area_under_roc_curve 0.857639 [0.857639,0.857639] area_under_roc_curve 0.652778 [0.652778,0.652778] area_under_roc_curve 0.579861 [0.579861,0.579861] area_under_roc_curve 0.739583 [0.739583,0.739583] area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.739583 [0.739583,0.739583] area_under_roc_curve 0.715278 [0.715278,0.715278] area_under_roc_curve 0.645833 [0.645833,0.645833] area_under_roc_curve 0.9375 [0.9375,0.9375] area_under_roc_curve 0.795139 [0.795139,0.795139] area_under_roc_curve 0.770833 [0.770833,0.770833] area_under_roc_curve 0.635417 [0.635417,0.635417] area_under_roc_curve 0.652778 [0.652778,0.652778] area_under_roc_curve 0.590278 [0.590278,0.590278] area_under_roc_curve 0.850694 [0.850694,0.850694] area_under_roc_curve 0.746528 [0.746528,0.746528] area_under_roc_curve 0.763889 [0.763889,0.763889] area_under_roc_curve 0.638889 [0.638889,0.638889] area_under_roc_curve 0.684028 [0.684028,0.684028] area_under_roc_curve 0.565972 [0.565972,0.565972] area_under_roc_curve 0.788194 [0.788194,0.788194] area_under_roc_curve 0.770833 [0.770833,0.770833] area_under_roc_curve 0.913194 [0.913194,0.913194] area_under_roc_curve 0.684028 [0.684028,0.684028] area_under_roc_curve 0.770833 [0.770833,0.770833] area_under_roc_curve 0.739583 [0.739583,0.739583] area_under_roc_curve 0.763889 [0.763889,0.763889] area_under_roc_curve 0.670139 [0.670139,0.670139] area_under_roc_curve 0.715278 [0.715278,0.715278] area_under_roc_curve 0.746528 [0.746528,0.746528] area_under_roc_curve 0.795139 [0.795139,0.795139] area_under_roc_curve 0.802083 [0.802083,0.802083] area_under_roc_curve 0.850694 [0.850694,0.850694] area_under_roc_curve 0.621528 [0.621528,0.621528] area_under_roc_curve 0.732639 [0.732639,0.732639] area_under_roc_curve 0.517361 [0.517361,0.517361] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.677083 [0.677083,0.677083] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.652778 [0.652778,0.652778] area_under_roc_curve 0.881944 [0.881944,0.881944] area_under_roc_curve 0.715278 [0.715278,0.715278] area_under_roc_curve 0.826389 [0.826389,0.826389] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.739583 [0.739583,0.739583] area_under_roc_curve 0.770833 [0.770833,0.770833] area_under_roc_curve 0.616667 [0.616667,0.616667] area_under_roc_curve 0.826389 [0.826389,0.826389] area_under_roc_curve 0.739583 [0.739583,0.739583] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.752059 [0.625,0.823529] f_measure 0.802037 [0.736842,0.83871] f_measure 0.764675 [0.727273,0.785714] f_measure 0.722852 [0.631579,0.774194] f_measure 0.881222 [0.842105,0.903226] f_measure 0.642365 [0.571429,0.689655] f_measure 0.791444 [0.705882,0.848485] f_measure 0.803941 [0.761905,0.827586] f_measure 0.797963 [0.736842,0.83871] f_measure 0.624599 [0.470588,0.727273] f_measure 0.739048 [0.571429,0.833333] f_measure 0.84 [0.777778,0.875] f_measure 0.803941 [0.761905,0.827586] f_measure 0.960407 [0.947368,0.967742] f_measure 0.878289 [0.823529,0.909091] f_measure 0.752059 [0.625,0.823529] f_measure 0.752059 [0.625,0.823529] f_measure 0.716007 [0.588235,0.787879] f_measure 0.95943 [0.941176,0.969697] f_measure 0.921333 [0.9,0.933333] f_measure 0.669412 [0.5,0.764706] f_measure 0.685333 [0.6,0.733333] f_measure 0.803941 [0.761905,0.827586] f_measure 0.797148 [0.705882,0.848485] f_measure 0.834706 [0.75,0.882353] f_measure 0.68 [0.555556,0.75] f_measure 0.842667 [0.8,0.866667] f_measure 0.834706 [0.75,0.882353] f_measure 0.803221 [0.782609,0.814815] f_measure 0.68 [0.555556,0.75] f_measure 0.52 [0.333333,0.625] f_measure 0.764 [0.7,0.8] f_measure 0.921333 [0.9,0.933333] f_measure 0.92 [0.888889,0.9375] f_measure 0.764 [0.7,0.8] f_measure 0.834706 [0.75,0.882353] f_measure 0.881222 [0.842105,0.903226] f_measure 0.634866 [0.470588,0.727273] f_measure 0.788571 [0.666667,0.857143] f_measure 0.722852 [0.631579,0.774194] f_measure 0.68 [0.555556,0.75] f_measure 0.873143 [0.8,0.914286] f_measure 0.803941 [0.761905,0.827586] f_measure 0.873143 [0.8,0.914286] f_measure 0.842667 [0.8,0.866667] f_measure 0.634866 [0.470588,0.727273] f_measure 0.960407 [0.947368,0.967742] f_measure 0.878289 [0.823529,0.909091] f_measure 0.68 [0.555556,0.75] f_measure 0.625263 [0.333333,0.789474] f_measure 0.76 [0.666667,0.8125] f_measure 0.722852 [0.631579,0.774194] f_measure 0.76 [0.666667,0.8125] f_measure 0.752059 [0.625,0.823529] f_measure 0.647094 [0.571429,0.689655] f_measure 0.921333 [0.9,0.933333] f_measure 0.802037 [0.736842,0.83871] f_measure 0.797148 [0.705882,0.848485] f_measure 0.685073 [0.461538,0.810811] f_measure 0.68 [0.555556,0.75] f_measure 0.606667 [0.5,0.666667] f_measure 0.842667 [0.8,0.866667] f_measure 0.788571 [0.666667,0.857143] f_measure 0.764 [0.7,0.8] f_measure 0.603846 [0.583333,0.615385] f_measure 0.716007 [0.588235,0.787879] f_measure 0.6 [0.444444,0.6875] f_measure 0.764675 [0.727273,0.785714] f_measure 0.797148 [0.705882,0.848485] f_measure 0.92 [0.888889,0.9375] f_measure 0.716007 [0.588235,0.787879] f_measure 0.797148 [0.705882,0.848485] f_measure 0.76 [0.666667,0.8125] f_measure 0.764 [0.7,0.8] f_measure 0.645797 [0.608696,0.666667] f_measure 0.752059 [0.625,0.823529] f_measure 0.788571 [0.666667,0.857143] f_measure 0.802037 [0.736842,0.83871] f_measure 0.834706 [0.75,0.882353] f_measure 0.842667 [0.8,0.866667] f_measure 0.643667 [0.526316,0.709677] f_measure 0.725517 [0.666667,0.758621] f_measure 0.565079 [0.285714,0.722222] f_measure 0.843117 [0.818182,0.857143] f_measure 0.685333 [0.6,0.733333] f_measure 0.718947 [0.5,0.842105] f_measure 0.68 [0.555556,0.75] f_measure 0.881222 [0.842105,0.903226] f_measure 0.752059 [0.625,0.823529] f_measure 0.84 [0.777778,0.875] f_measure 0.754167 [0.666667,0.8125] f_measure 0.658824 [0.5,0.764706] f_measure 0.682051 [0.666667,0.692308] f_measure 0.84 [0.8,0.866667] f_measure 0.693333 [0.533333,0.8] f_measure 0.76 [0.666667,0.8125] f_measure 0.797148 [0.705882,0.848485] f_measure 0.636333 [0.526316,0.709677] f_measure 0.84 [0.777778,0.875] f_measure 0.76 [0.666667,0.8125] kappa 0.452555 kappa 0.576271 kappa 0.525316 kappa 0.40678 kappa 0.745763 kappa 0.262295 kappa 0.561404 kappa 0.595469 kappa 0.576271 kappa 0.210526 kappa 0.423077 kappa 0.652778 kappa 0.595469 kappa 0.915254 kappa 0.733096 kappa 0.452555 kappa 0.452555 kappa 0.377224 kappa 0.911032 kappa 0.834437 kappa 0.270073 kappa 0.337748 kappa 0.595469 kappa 0.55516 kappa 0.635036 kappa 0.305556 kappa 0.668874 kappa 0.635036 kappa 0.613003 kappa 0.305556 kappa -0.041667 kappa 0.503311 kappa 0.834437 kappa 0.826389 kappa 0.503311 kappa 0.635036 kappa 0.745763 kappa 0.199288 kappa 0.531835 kappa 0.40678 kappa 0.305556 kappa 0.719101 kappa 0.595469 kappa 0.719101 kappa 0.668874 kappa 0.199288 kappa 0.915254 kappa 0.733096 kappa 0.305556 kappa 0.186992 kappa 0.479167 kappa 0.40678 kappa 0.479167 kappa 0.452555 kappa 0.271845 kappa 0.834437 kappa 0.576271 kappa 0.55516 kappa 0.3083 kappa 0.305556 kappa 0.172185 kappa 0.668874 kappa 0.531835 kappa 0.503311 kappa 0.242424 kappa 0.377224 kappa 0.131944 kappa 0.525316 kappa 0.55516 kappa 0.826389 kappa 0.377224 kappa 0.55516 kappa 0.479167 kappa 0.503311 kappa 0.303406 kappa 0.452555 kappa 0.531835 kappa 0.576271 kappa 0.635036 kappa 0.668874 kappa 0.237288 kappa 0.433657 kappa 0.038462 kappa 0.683544 kappa 0.337748 kappa 0.390244 kappa 0.305556 kappa 0.745763 kappa 0.452555 kappa 0.652778 kappa 0.482759 kappa 0.285714 kappa 0.375 kappa 0.666667 kappa 0.363636 kappa 0.479167 kappa 0.55516 kappa 0.237288 kappa 0.652778 kappa 0.479167 kb_relative_information_score 11.52773 kb_relative_information_score 13.755263 kb_relative_information_score 11.52773 kb_relative_information_score 9.300198 kb_relative_information_score 18.210328 kb_relative_information_score 5.688342 kb_relative_information_score 14.598472 kb_relative_information_score 13.755263 kb_relative_information_score 14.598472 kb_relative_information_score 5.688342 kb_relative_information_score 11.52773 kb_relative_information_score 15.982796 kb_relative_information_score 13.755263 kb_relative_information_score 22.665393 kb_relative_information_score 18.210328 kb_relative_information_score 11.52773 kb_relative_information_score 11.52773 kb_relative_information_score 9.300198 kb_relative_information_score 22.665393 kb_relative_information_score 20.437861 kb_relative_information_score 7.072665 kb_relative_information_score 7.072665 kb_relative_information_score 13.755263 kb_relative_information_score 13.755263 kb_relative_information_score 15.982796 kb_relative_information_score 7.072665 kb_relative_information_score 15.982796 kb_relative_information_score 15.982796 kb_relative_information_score 13.755263 kb_relative_information_score 7.072665 kb_relative_information_score -1.837465 kb_relative_information_score 11.52773 kb_relative_information_score 20.437861 kb_relative_information_score 20.437861 kb_relative_information_score 11.52773 kb_relative_information_score 15.982796 kb_relative_information_score 18.210328 kb_relative_information_score 4.845133 kb_relative_information_score 13.755263 kb_relative_information_score 9.300198 kb_relative_information_score 7.072665 kb_relative_information_score 18.210328 kb_relative_information_score 13.755263 kb_relative_information_score 18.210328 kb_relative_information_score 15.982796 kb_relative_information_score 4.845133 kb_relative_information_score 22.665393 kb_relative_information_score 18.210328 kb_relative_information_score 7.072665 kb_relative_information_score 7.072665 kb_relative_information_score 11.52773 kb_relative_information_score 9.300198 kb_relative_information_score 11.52773 kb_relative_information_score 11.52773 kb_relative_information_score 4.845133 kb_relative_information_score 20.437861 kb_relative_information_score 13.755263 kb_relative_information_score 13.755263 kb_relative_information_score 9.300198 kb_relative_information_score 7.072665 kb_relative_information_score 2.6176 kb_relative_information_score 15.982796 kb_relative_information_score 13.755263 kb_relative_information_score 11.52773 kb_relative_information_score 2.6176 kb_relative_information_score 9.300198 kb_relative_information_score 2.6176 kb_relative_information_score 11.52773 kb_relative_information_score 13.755263 kb_relative_information_score 20.437861 kb_relative_information_score 9.300198 kb_relative_information_score 13.755263 kb_relative_information_score 11.52773 kb_relative_information_score 11.52773 kb_relative_information_score 4.845133 kb_relative_information_score 11.52773 kb_relative_information_score 13.755263 kb_relative_information_score 13.755263 kb_relative_information_score 15.982796 kb_relative_information_score 15.982796 kb_relative_information_score 4.845133 kb_relative_information_score 9.300198 kb_relative_information_score 2.6176 kb_relative_information_score 15.982796 kb_relative_information_score 7.072665 kb_relative_information_score 11.52773 kb_relative_information_score 7.072665 kb_relative_information_score 18.210328 kb_relative_information_score 11.52773 kb_relative_information_score 15.982796 kb_relative_information_score 12.370939 kb_relative_information_score 7.915874 kb_relative_information_score 7.915874 kb_relative_information_score 16.826004 kb_relative_information_score 10.143407 kb_relative_information_score 11.52773 kb_relative_information_score 13.755263 kb_relative_information_score 5.688342 kb_relative_information_score 15.982796 kb_relative_information_score 11.52773 mean_absolute_error 0.24 mean_absolute_error 0.2 mean_absolute_error 0.24 mean_absolute_error 0.28 mean_absolute_error 0.12 mean_absolute_error 0.36 mean_absolute_error 0.2 mean_absolute_error 0.2 mean_absolute_error 0.2 mean_absolute_error 0.36 mean_absolute_error 0.24 mean_absolute_error 0.16 mean_absolute_error 0.2 mean_absolute_error 0.04 mean_absolute_error 0.12 mean_absolute_error 0.24 mean_absolute_error 0.24 mean_absolute_error 0.28 mean_absolute_error 0.04 mean_absolute_error 0.08 mean_absolute_error 0.32 mean_absolute_error 0.32 mean_absolute_error 0.2 mean_absolute_error 0.2 mean_absolute_error 0.16 mean_absolute_error 0.32 mean_absolute_error 0.16 mean_absolute_error 0.16 mean_absolute_error 0.2 mean_absolute_error 0.32 mean_absolute_error 0.48 mean_absolute_error 0.24 mean_absolute_error 0.08 mean_absolute_error 0.08 mean_absolute_error 0.24 mean_absolute_error 0.16 mean_absolute_error 0.12 mean_absolute_error 0.36 mean_absolute_error 0.2 mean_absolute_error 0.28 mean_absolute_error 0.32 mean_absolute_error 0.12 mean_absolute_error 0.2 mean_absolute_error 0.12 mean_absolute_error 0.16 mean_absolute_error 0.36 mean_absolute_error 0.04 mean_absolute_error 0.12 mean_absolute_error 0.32 mean_absolute_error 0.32 mean_absolute_error 0.24 mean_absolute_error 0.28 mean_absolute_error 0.24 mean_absolute_error 0.24 mean_absolute_error 0.36 mean_absolute_error 0.08 mean_absolute_error 0.2 mean_absolute_error 0.2 mean_absolute_error 0.28 mean_absolute_error 0.32 mean_absolute_error 0.4 mean_absolute_error 0.16 mean_absolute_error 0.2 mean_absolute_error 0.24 mean_absolute_error 0.4 mean_absolute_error 0.28 mean_absolute_error 0.4 mean_absolute_error 0.24 mean_absolute_error 0.2 mean_absolute_error 0.08 mean_absolute_error 0.28 mean_absolute_error 0.2 mean_absolute_error 0.24 mean_absolute_error 0.24 mean_absolute_error 0.36 mean_absolute_error 0.24 mean_absolute_error 0.2 mean_absolute_error 0.2 mean_absolute_error 0.16 mean_absolute_error 0.16 mean_absolute_error 0.36 mean_absolute_error 0.28 mean_absolute_error 0.4 mean_absolute_error 0.16 mean_absolute_error 0.32 mean_absolute_error 0.24 mean_absolute_error 0.32 mean_absolute_error 0.12 mean_absolute_error 0.24 mean_absolute_error 0.16 mean_absolute_error 0.24 mean_absolute_error 0.32 mean_absolute_error 0.32 mean_absolute_error 0.16 mean_absolute_error 0.28 mean_absolute_error 0.24 mean_absolute_error 0.2 mean_absolute_error 0.36 mean_absolute_error 0.16 mean_absolute_error 0.24 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.473016 mean_prior_absolute_error 0.473016 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.473016 mean_prior_absolute_error 0.473016 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.473016 mean_prior_absolute_error 0.473016 mean_prior_absolute_error 0.473016 mean_prior_absolute_error 0.473016 mean_prior_absolute_error 0.473016 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.473016 mean_prior_absolute_error 0.462222 mean_prior_absolute_error 0.462222 number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [10,15] number_of_instances 25 [10,15] number_of_instances 25 [9,16] number_of_instances 25 [10,15] number_of_instances 25 [10,15] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [9,16] 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 [9,16] number_of_instances 25 [9,16] number_of_instances 25 [10,15] number_of_instances 25 [9,16] number_of_instances 25 [9,16] precision 0.754921 [0.714286,0.777778] precision 0.806667 [0.7,0.866667] precision 0.808205 [0.615385,0.916667] precision 0.728 [0.6,0.8] precision 0.885333 [0.8,0.933333] precision 0.646753 [0.545455,0.714286] precision 0.809524 [0.857143,0.777778] precision 0.830769 [0.666667,0.923077] precision 0.798611 [0.777778,0.8125] precision 0.628571 [0.571429,0.666667] precision 0.768 [0.8,0.75] precision 0.84 [0.777778,0.875] precision 0.830769 [0.666667,0.923077] precision 0.964 [0.9,1] precision 0.879706 [0.875,0.882353] precision 0.754921 [0.714286,0.777778] precision 0.754921 [0.714286,0.777778] precision 0.714412 [0.625,0.764706] precision 0.962353 [1,0.941176] precision 0.934545 [0.818182,1] precision 0.667937 [0.571429,0.722222] precision 0.699221 [0.545455,0.785714] precision 0.830769 [0.666667,0.923077] precision 0.797059 [0.75,0.823529] precision 0.841905 [0.857143,0.833333] precision 0.68 [0.555556,0.75] precision 0.856104 [0.727273,0.928571] precision 0.841905 [0.857143,0.833333] precision 0.871429 [0.642857,1] precision 0.68 [0.555556,0.75] precision 0.52 [0.333333,0.625] precision 0.777662 [0.636364,0.857143] precision 0.934545 [0.818182,1] precision 0.92 [0.888889,0.9375] precision 0.777662 [0.636364,0.857143] precision 0.841905 [0.857143,0.833333] precision 0.885333 [0.8,0.933333] precision 0.631765 [0.5,0.705882] precision 0.805263 [0.833333,0.789474] precision 0.728 [0.6,0.8] precision 0.68 [0.555556,0.75] precision 0.898947 [1,0.842105] precision 0.830769 [0.666667,0.923077] precision 0.898947 [1,0.842105] precision 0.856104 [0.727273,0.928571] precision 0.631765 [0.5,0.705882] precision 0.964 [0.9,1] precision 0.879706 [0.875,0.882353] precision 0.68 [0.555556,0.75] precision 0.676364 [0.666667,0.681818] precision 0.76 [0.666667,0.8125] precision 0.728 [0.6,0.8] precision 0.76 [0.666667,0.8125] precision 0.754921 [0.714286,0.777778] precision 0.672308 [0.5,0.769231] precision 0.934545 [0.818182,1] precision 0.806667 [0.7,0.866667] precision 0.797059 [0.75,0.823529] precision 0.727143 [0.75,0.714286] precision 0.68 [0.555556,0.75] precision 0.620779 [0.454545,0.714286] precision 0.856104 [0.727273,0.928571] precision 0.805263 [0.833333,0.789474] precision 0.777662 [0.636364,0.857143] precision 0.68 [0.466667,0.8] precision 0.714412 [0.625,0.764706] precision 0.6 [0.444444,0.6875] precision 0.808205 [0.615385,0.916667] precision 0.797059 [0.75,0.823529] precision 0.92 [0.888889,0.9375] precision 0.714412 [0.625,0.764706] precision 0.797059 [0.75,0.823529] precision 0.76 [0.666667,0.8125] precision 0.777662 [0.636364,0.857143] precision 0.703636 [0.5,0.818182] precision 0.754921 [0.714286,0.777778] precision 0.805263 [0.833333,0.789474] precision 0.806667 [0.7,0.866667] precision 0.841905 [0.857143,0.833333] precision 0.856104 [0.727273,0.928571] precision 0.649333 [0.5,0.733333] precision 0.751538 [0.583333,0.846154] precision 0.56 [0.4,0.65] precision 0.889231 [0.692308,1] precision 0.699221 [0.545455,0.785714] precision 0.825455 [1,0.727273] precision 0.68 [0.555556,0.75] precision 0.885333 [0.8,0.933333] precision 0.754921 [0.714286,0.777778] precision 0.84 [0.777778,0.875] precision 0.758824 [0.75,0.764706] precision 0.677193 [0.666667,0.684211] precision 0.719481 [0.571429,0.818182] precision 0.84 [0.8,0.866667] precision 0.74 [0.8,0.7] precision 0.76 [0.666667,0.8125] precision 0.797059 [0.75,0.823529] precision 0.634722 [0.555556,0.6875] precision 0.84 [0.777778,0.875] precision 0.76 [0.666667,0.8125] predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.72 predictive_accuracy 0.88 predictive_accuracy 0.64 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.64 predictive_accuracy 0.76 predictive_accuracy 0.84 predictive_accuracy 0.8 predictive_accuracy 0.96 predictive_accuracy 0.88 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.72 predictive_accuracy 0.96 predictive_accuracy 0.92 predictive_accuracy 0.68 predictive_accuracy 0.68 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.84 predictive_accuracy 0.68 predictive_accuracy 0.84 predictive_accuracy 0.84 predictive_accuracy 0.8 predictive_accuracy 0.68 predictive_accuracy 0.52 predictive_accuracy 0.76 predictive_accuracy 0.92 predictive_accuracy 0.92 predictive_accuracy 0.76 predictive_accuracy 0.84 predictive_accuracy 0.88 predictive_accuracy 0.64 predictive_accuracy 0.8 predictive_accuracy 0.72 predictive_accuracy 0.68 predictive_accuracy 0.88 predictive_accuracy 0.8 predictive_accuracy 0.88 predictive_accuracy 0.84 predictive_accuracy 0.64 predictive_accuracy 0.96 predictive_accuracy 0.88 predictive_accuracy 0.68 predictive_accuracy 0.68 predictive_accuracy 0.76 predictive_accuracy 0.72 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.64 predictive_accuracy 0.92 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.72 predictive_accuracy 0.68 predictive_accuracy 0.6 predictive_accuracy 0.84 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.6 predictive_accuracy 0.72 predictive_accuracy 0.6 predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.92 predictive_accuracy 0.72 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.64 predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.84 predictive_accuracy 0.84 predictive_accuracy 0.64 predictive_accuracy 0.72 predictive_accuracy 0.6 predictive_accuracy 0.84 predictive_accuracy 0.68 predictive_accuracy 0.76 predictive_accuracy 0.68 predictive_accuracy 0.88 predictive_accuracy 0.76 predictive_accuracy 0.84 predictive_accuracy 0.76 predictive_accuracy 0.68 predictive_accuracy 0.68 predictive_accuracy 0.84 predictive_accuracy 0.72 predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.64 predictive_accuracy 0.84 predictive_accuracy 0.76 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 prior_entropy 0.946819 recall 0.76 [0.555556,0.875] recall 0.8 [0.777778,0.8125] recall 0.76 [0.888889,0.6875] recall 0.72 [0.666667,0.75] recall 0.88 [0.888889,0.875] recall 0.64 [0.6,0.666667] recall 0.8 [0.6,0.933333] recall 0.8 [0.888889,0.75] recall 0.8 [0.7,0.866667] recall 0.64 [0.4,0.8] recall 0.76 [0.444444,0.9375] recall 0.84 [0.777778,0.875] recall 0.8 [0.888889,0.75] recall 0.96 [1,0.9375] recall 0.88 [0.777778,0.9375] recall 0.76 [0.555556,0.875] recall 0.76 [0.555556,0.875] recall 0.72 [0.555556,0.8125] recall 0.96 [0.888889,1] recall 0.92 [1,0.875] recall 0.68 [0.444444,0.8125] recall 0.68 [0.666667,0.6875] recall 0.8 [0.888889,0.75] recall 0.8 [0.666667,0.875] recall 0.84 [0.666667,0.9375] recall 0.68 [0.555556,0.75] recall 0.84 [0.888889,0.8125] recall 0.84 [0.666667,0.9375] recall 0.8 [1,0.6875] recall 0.68 [0.555556,0.75] recall 0.52 [0.333333,0.625] recall 0.76 [0.777778,0.75] recall 0.92 [1,0.875] recall 0.92 [0.888889,0.9375] recall 0.76 [0.777778,0.75] recall 0.84 [0.666667,0.9375] recall 0.88 [0.888889,0.875] recall 0.64 [0.444444,0.75] recall 0.8 [0.555556,0.9375] recall 0.72 [0.666667,0.75] recall 0.68 [0.555556,0.75] recall 0.88 [0.666667,1] recall 0.8 [0.888889,0.75] recall 0.88 [0.666667,1] recall 0.84 [0.888889,0.8125] recall 0.64 [0.444444,0.75] recall 0.96 [1,0.9375] recall 0.88 [0.777778,0.9375] recall 0.68 [0.555556,0.75] recall 0.68 [0.222222,0.9375] recall 0.76 [0.666667,0.8125] recall 0.72 [0.666667,0.75] recall 0.76 [0.666667,0.8125] recall 0.76 [0.555556,0.875] recall 0.64 [0.666667,0.625] recall 0.92 [1,0.875] recall 0.8 [0.777778,0.8125] recall 0.8 [0.666667,0.875] recall 0.72 [0.333333,0.9375] recall 0.68 [0.555556,0.75] recall 0.6 [0.555556,0.625] recall 0.84 [0.888889,0.8125] recall 0.8 [0.555556,0.9375] recall 0.76 [0.777778,0.75] recall 0.6 [0.777778,0.5] recall 0.72 [0.555556,0.8125] recall 0.6 [0.444444,0.6875] recall 0.76 [0.888889,0.6875] recall 0.8 [0.666667,0.875] recall 0.92 [0.888889,0.9375] recall 0.72 [0.555556,0.8125] recall 0.8 [0.666667,0.875] recall 0.76 [0.666667,0.8125] recall 0.76 [0.777778,0.75] recall 0.64 [0.777778,0.5625] recall 0.76 [0.555556,0.875] recall 0.8 [0.555556,0.9375] recall 0.8 [0.777778,0.8125] recall 0.84 [0.666667,0.9375] recall 0.84 [0.888889,0.8125] recall 0.64 [0.555556,0.6875] recall 0.72 [0.777778,0.6875] recall 0.6 [0.222222,0.8125] recall 0.84 [1,0.75] recall 0.68 [0.666667,0.6875] recall 0.76 [0.333333,1] recall 0.68 [0.555556,0.75] recall 0.88 [0.888889,0.875] recall 0.76 [0.555556,0.875] recall 0.84 [0.777778,0.875] recall 0.76 [0.6,0.866667] recall 0.68 [0.4,0.866667] recall 0.68 [0.8,0.6] recall 0.84 [0.8,0.866667] recall 0.72 [0.4,0.933333] recall 0.76 [0.666667,0.8125] recall 0.8 [0.666667,0.875] recall 0.64 [0.5,0.733333] recall 0.84 [0.777778,0.875] recall 0.76 [0.666667,0.8125] relative_absolute_error 0.519231 relative_absolute_error 0.432692 relative_absolute_error 0.519231 relative_absolute_error 0.605769 relative_absolute_error 0.259615 relative_absolute_error 0.761074 relative_absolute_error 0.422819 relative_absolute_error 0.432692 relative_absolute_error 0.422819 relative_absolute_error 0.761074 relative_absolute_error 0.519231 relative_absolute_error 0.346154 relative_absolute_error 0.432692 relative_absolute_error 0.086538 relative_absolute_error 0.259615 relative_absolute_error 0.519231 relative_absolute_error 0.519231 relative_absolute_error 0.605769 relative_absolute_error 0.086538 relative_absolute_error 0.173077 relative_absolute_error 0.692308 relative_absolute_error 0.692308 relative_absolute_error 0.432692 relative_absolute_error 0.432692 relative_absolute_error 0.346154 relative_absolute_error 0.692308 relative_absolute_error 0.346154 relative_absolute_error 0.346154 relative_absolute_error 0.432692 relative_absolute_error 0.692308 relative_absolute_error 1.038462 relative_absolute_error 0.519231 relative_absolute_error 0.173077 relative_absolute_error 0.173077 relative_absolute_error 0.519231 relative_absolute_error 0.346154 relative_absolute_error 0.259615 relative_absolute_error 0.778846 relative_absolute_error 0.432692 relative_absolute_error 0.605769 relative_absolute_error 0.692308 relative_absolute_error 0.259615 relative_absolute_error 0.432692 relative_absolute_error 0.259615 relative_absolute_error 0.346154 relative_absolute_error 0.778846 relative_absolute_error 0.086538 relative_absolute_error 0.259615 relative_absolute_error 0.692308 relative_absolute_error 0.692308 relative_absolute_error 0.519231 relative_absolute_error 0.605769 relative_absolute_error 0.519231 relative_absolute_error 0.519231 relative_absolute_error 0.778846 relative_absolute_error 0.173077 relative_absolute_error 0.432692 relative_absolute_error 0.432692 relative_absolute_error 0.605769 relative_absolute_error 0.692308 relative_absolute_error 0.865385 relative_absolute_error 0.346154 relative_absolute_error 0.432692 relative_absolute_error 0.519231 relative_absolute_error 0.865385 relative_absolute_error 0.605769 relative_absolute_error 0.865385 relative_absolute_error 0.519231 relative_absolute_error 0.432692 relative_absolute_error 0.173077 relative_absolute_error 0.605769 relative_absolute_error 0.432692 relative_absolute_error 0.519231 relative_absolute_error 0.519231 relative_absolute_error 0.778846 relative_absolute_error 0.519231 relative_absolute_error 0.432692 relative_absolute_error 0.432692 relative_absolute_error 0.346154 relative_absolute_error 0.346154 relative_absolute_error 0.778846 relative_absolute_error 0.605769 relative_absolute_error 0.865385 relative_absolute_error 0.346154 relative_absolute_error 0.692308 relative_absolute_error 0.519231 relative_absolute_error 0.692308 relative_absolute_error 0.259615 relative_absolute_error 0.519231 relative_absolute_error 0.346154 relative_absolute_error 0.507383 relative_absolute_error 0.67651 relative_absolute_error 0.67651 relative_absolute_error 0.338255 relative_absolute_error 0.591946 relative_absolute_error 0.519231 relative_absolute_error 0.432692 relative_absolute_error 0.761074 relative_absolute_error 0.346154 relative_absolute_error 0.519231 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.491141 root_mean_prior_squared_error 0.491141 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.491141 root_mean_prior_squared_error 0.491141 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.491141 root_mean_prior_squared_error 0.491141 root_mean_prior_squared_error 0.491141 root_mean_prior_squared_error 0.491141 root_mean_prior_squared_error 0.491141 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.491141 root_mean_prior_squared_error 0.480027 root_mean_prior_squared_error 0.480027 root_mean_squared_error 0.489898 root_mean_squared_error 0.447214 root_mean_squared_error 0.489898 root_mean_squared_error 0.52915 root_mean_squared_error 0.34641 root_mean_squared_error 0.6 root_mean_squared_error 0.447214 root_mean_squared_error 0.447214 root_mean_squared_error 0.447214 root_mean_squared_error 0.6 root_mean_squared_error 0.489898 root_mean_squared_error 0.4 root_mean_squared_error 0.447214 root_mean_squared_error 0.2 root_mean_squared_error 0.34641 root_mean_squared_error 0.489898 root_mean_squared_error 0.489898 root_mean_squared_error 0.52915 root_mean_squared_error 0.2 root_mean_squared_error 0.282843 root_mean_squared_error 0.565685 root_mean_squared_error 0.565685 root_mean_squared_error 0.447214 root_mean_squared_error 0.447214 root_mean_squared_error 0.4 root_mean_squared_error 0.565685 root_mean_squared_error 0.4 root_mean_squared_error 0.4 root_mean_squared_error 0.447214 root_mean_squared_error 0.565685 root_mean_squared_error 0.69282 root_mean_squared_error 0.489898 root_mean_squared_error 0.282843 root_mean_squared_error 0.282843 root_mean_squared_error 0.489898 root_mean_squared_error 0.4 root_mean_squared_error 0.34641 root_mean_squared_error 0.6 root_mean_squared_error 0.447214 root_mean_squared_error 0.52915 root_mean_squared_error 0.565685 root_mean_squared_error 0.34641 root_mean_squared_error 0.447214 root_mean_squared_error 0.34641 root_mean_squared_error 0.4 root_mean_squared_error 0.6 root_mean_squared_error 0.2 root_mean_squared_error 0.34641 root_mean_squared_error 0.565685 root_mean_squared_error 0.565685 root_mean_squared_error 0.489898 root_mean_squared_error 0.52915 root_mean_squared_error 0.489898 root_mean_squared_error 0.489898 root_mean_squared_error 0.6 root_mean_squared_error 0.282843 root_mean_squared_error 0.447214 root_mean_squared_error 0.447214 root_mean_squared_error 0.52915 root_mean_squared_error 0.565685 root_mean_squared_error 0.632456 root_mean_squared_error 0.4 root_mean_squared_error 0.447214 root_mean_squared_error 0.489898 root_mean_squared_error 0.632456 root_mean_squared_error 0.52915 root_mean_squared_error 0.632456 root_mean_squared_error 0.489898 root_mean_squared_error 0.447214 root_mean_squared_error 0.282843 root_mean_squared_error 0.52915 root_mean_squared_error 0.447214 root_mean_squared_error 0.489898 root_mean_squared_error 0.489898 root_mean_squared_error 0.6 root_mean_squared_error 0.489898 root_mean_squared_error 0.447214 root_mean_squared_error 0.447214 root_mean_squared_error 0.4 root_mean_squared_error 0.4 root_mean_squared_error 0.6 root_mean_squared_error 0.52915 root_mean_squared_error 0.632456 root_mean_squared_error 0.4 root_mean_squared_error 0.565685 root_mean_squared_error 0.489898 root_mean_squared_error 0.565685 root_mean_squared_error 0.34641 root_mean_squared_error 0.489898 root_mean_squared_error 0.4 root_mean_squared_error 0.489898 root_mean_squared_error 0.565685 root_mean_squared_error 0.565685 root_mean_squared_error 0.4 root_mean_squared_error 0.52915 root_mean_squared_error 0.489898 root_mean_squared_error 0.447214 root_mean_squared_error 0.6 root_mean_squared_error 0.4 root_mean_squared_error 0.489898 root_relative_squared_error 1.020564 root_relative_squared_error 0.931643 root_relative_squared_error 1.020564 root_relative_squared_error 1.102335 root_relative_squared_error 0.721647 root_relative_squared_error 1.221645 root_relative_squared_error 0.910561 root_relative_squared_error 0.931643 root_relative_squared_error 0.910561 root_relative_squared_error 1.221645 root_relative_squared_error 1.020564 root_relative_squared_error 0.833287 root_relative_squared_error 0.931643 root_relative_squared_error 0.416643 root_relative_squared_error 0.721647 root_relative_squared_error 1.020564 root_relative_squared_error 1.020564 root_relative_squared_error 1.102335 root_relative_squared_error 0.416643 root_relative_squared_error 0.589223 root_relative_squared_error 1.178445 root_relative_squared_error 1.178445 root_relative_squared_error 0.931643 root_relative_squared_error 0.931643 root_relative_squared_error 0.833287 root_relative_squared_error 1.178445 root_relative_squared_error 0.833287 root_relative_squared_error 0.833287 root_relative_squared_error 0.931643 root_relative_squared_error 1.178445 root_relative_squared_error 1.443295 root_relative_squared_error 1.020564 root_relative_squared_error 0.589223 root_relative_squared_error 0.589223 root_relative_squared_error 1.020564 root_relative_squared_error 0.833287 root_relative_squared_error 0.721647 root_relative_squared_error 1.24993 root_relative_squared_error 0.931643 root_relative_squared_error 1.102335 root_relative_squared_error 1.178445 root_relative_squared_error 0.721647 root_relative_squared_error 0.931643 root_relative_squared_error 0.721647 root_relative_squared_error 0.833287 root_relative_squared_error 1.24993 root_relative_squared_error 0.416643 root_relative_squared_error 0.721647 root_relative_squared_error 1.178445 root_relative_squared_error 1.178445 root_relative_squared_error 1.020564 root_relative_squared_error 1.102335 root_relative_squared_error 1.020564 root_relative_squared_error 1.020564 root_relative_squared_error 1.24993 root_relative_squared_error 0.589223 root_relative_squared_error 0.931643 root_relative_squared_error 0.931643 root_relative_squared_error 1.102335 root_relative_squared_error 1.178445 root_relative_squared_error 1.317542 root_relative_squared_error 0.833287 root_relative_squared_error 0.931643 root_relative_squared_error 1.020564 root_relative_squared_error 1.317542 root_relative_squared_error 1.102335 root_relative_squared_error 1.317542 root_relative_squared_error 1.020564 root_relative_squared_error 0.931643 root_relative_squared_error 0.589223 root_relative_squared_error 1.102335 root_relative_squared_error 0.931643 root_relative_squared_error 1.020564 root_relative_squared_error 1.020564 root_relative_squared_error 1.24993 root_relative_squared_error 1.020564 root_relative_squared_error 0.931643 root_relative_squared_error 0.931643 root_relative_squared_error 0.833287 root_relative_squared_error 0.833287 root_relative_squared_error 1.24993 root_relative_squared_error 1.102335 root_relative_squared_error 1.317542 root_relative_squared_error 0.833287 root_relative_squared_error 1.178445 root_relative_squared_error 1.020564 root_relative_squared_error 1.178445 root_relative_squared_error 0.721647 root_relative_squared_error 1.020564 root_relative_squared_error 0.833287 root_relative_squared_error 0.997469 root_relative_squared_error 1.151778 root_relative_squared_error 1.151778 root_relative_squared_error 0.81443 root_relative_squared_error 1.07739 root_relative_squared_error 1.020564 root_relative_squared_error 0.931643 root_relative_squared_error 1.221645 root_relative_squared_error 0.833287 root_relative_squared_error 1.020564 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 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