393584 2 Joaquin Vanschoren 1889 Supervised Classification predictive_accuracy 1165 weka.A1DE(4) 1918 weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE -- -F 1 -M 1.0 F 1 1165 M 1.0 1165 weka weka_3.7.12 9 autos https://www.openml.org/data/download/9/dataset_9_autos.arff -1 1375305 description https://api.openml.org/data/download/1375305/weka_generated_run9164001021570624553.xml -1 1375308 model_readable https://api.openml.org/data/download/1375308/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE2332733205288804374.model -1 1375307 model_serialized https://api.openml.org/data/download/1375307/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE8165280747743379356.model -1 1375306 predictions https://api.openml.org/data/download/1375306/weka_generated_predictions8112234873543223731.arff area_under_roc_curve 0.942334 [0.0,0.999554,0.95314,0.941344,0.919626,0.933866,0.98508] average_cost 0 f_measure 0.821817 [0,0.949153,0.83945,0.849478,0.784572,0.790698,0.836036] kappa 0.769094 kb_relative_information_score 1576.427315 mean_absolute_error 0.057932 mean_prior_absolute_error 0.220919 number_of_instances 2050 [0,30,220,670,540,320,270] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.82199 [0,0.965517,0.847222,0.848214,0.797323,0.784615,0.814035] predictive_accuracy 0.821951 prior_entropy 2.326811 recall 0.821951 [0,0.933333,0.831818,0.850746,0.772222,0.796875,0.859259] relative_absolute_error 0.262231 root_mean_prior_squared_error 0.331758 root_mean_squared_error 0.208361 root_relative_squared_error 0.62805 scimark_benchmark 945.019447 [566.3118662944468, 1014.7208839634673, 480.85168147774846, 910.5383976697751, 1752.6744042525834] total_cost 0 usercpu_time_millis 10 usercpu_time_millis_testing 10 usercpu_time_millis_training 0 area_under_roc_curve 0.964616 [0.0,0.0,1,1,0.8625,1,0.981481] area_under_roc_curve 0.968027 [0.0,1,1,0.989796,0.9,1,1] area_under_roc_curve 0.925826 [0.0,0.0,0.947368,0.959184,0.833333,0.981481,0.962963] area_under_roc_curve 0.977844 [0.0,0.0,1,1,0.9625,0.907407,1] area_under_roc_curve 0.964172 [0.0,0.0,1,0.959184,0.922222,1,1] area_under_roc_curve 0.990249 [0.0,0.0,1,0.989796,0.977778,1,1] area_under_roc_curve 0.976859 [0.0,0.0,1,1,0.955556,0.944444,0.973684] area_under_roc_curve 0.942512 [0.0,0.0,1,0.979592,0.9,0.897059,0.973684] area_under_roc_curve 0.976644 [0.0,0.0,1,0.94898,0.977778,1,1] area_under_roc_curve 0.851663 [0.0,0.0,1,0.836735,0.833333,0.675926,1] area_under_roc_curve 0.960091 [0.0,0.0,1,0.989796,0.9,0.981481,0.962963] area_under_roc_curve 0.944444 [0.0,1,1,0.955556,0.877778,0.981481,0.962963] area_under_roc_curve 0.93424 [0.0,0.0,1,0.897959,0.888889,1,1] area_under_roc_curve 0.962396 [0.0,0.0,0.962963,0.938776,0.95,1,1] area_under_roc_curve 0.906407 [0.0,0.0,1,0.969388,0.825,0.794118,0.973684] area_under_roc_curve 0.914286 [0.0,0.0,1,1,0.866667,0.666667,1] area_under_roc_curve 0.932052 [0.0,0.0,0.962963,0.966667,0.866667,1,0.842105] area_under_roc_curve 0.927833 [0.0,0.0,0.684211,0.989796,0.8375,1,1] area_under_roc_curve 0.964146 [0.0,0.0,1,0.966667,0.966667,0.911765,1] area_under_roc_curve 0.954497 [0.0,0.0,1,1,0.933333,0.814815,1] area_under_roc_curve 0.981859 [0.0,1,1,0.969388,1,0.944444,1] area_under_roc_curve 0.960317 [0.0,1,1,0.988889,0.9,1,0.944444] area_under_roc_curve 0.966881 [0.0,1,0.973684,0.908163,1,1,1] area_under_roc_curve 0.960979 [0.0,1,1,1,0.925,0.851852,1] area_under_roc_curve 0.910289 [0.0,1,0.75,0.846939,0.9875,1,1] area_under_roc_curve 0.95688 [0.0,1,1,0.969388,0.911111,1,0.921053] area_under_roc_curve 0.934921 [0.0,1,1,0.827778,0.944444,1,1] area_under_roc_curve 0.955688 [0.0,1,1,1,0.925,0.833333,0.981481] area_under_roc_curve 1 [0.0,1,1,1,1,1,1] area_under_roc_curve 0.943955 [0.0,1,0.947368,0.959184,0.877778,1,0.973684] area_under_roc_curve 0.947671 [0.0,1,0.947368,0.918367,0.966667,0.925926,1] area_under_roc_curve 0.908279 [0.0,0.0,1,0.944444,0.822222,0.882353,0.981481] area_under_roc_curve 0.941893 [0.0,1,1,0.938776,0.875,0.944444,1] area_under_roc_curve 0.967923 [0.0,1,1,1,0.8875,1,0.962963] area_under_roc_curve 0.930414 [0.0,1,1,0.94898,0.9125,0.777778,1] area_under_roc_curve 0.929516 [0.0,1,0.962963,0.887755,0.95,0.888889,1] area_under_roc_curve 0.959259 [0.0,1,1,1,0.866667,1,0.981481] area_under_roc_curve 0.912875 [0.0,1,0.868421,0.908163,0.8375,1,0.962963] area_under_roc_curve 0.845642 [0.0,1,0.973684,0.844444,0.661111,0.925926,1] area_under_roc_curve 1 [0.0,1,1,1,1,1,1] area_under_roc_curve 0.918117 [0.0,1,1,0.969388,0.766667,1,0.947368] area_under_roc_curve 0.957103 [0.0,0.0,0.973684,0.959184,0.8875,1,1] area_under_roc_curve 0.947279 [0.0,1,1,0.94898,0.95,0.833333,1] area_under_roc_curve 0.980952 [0.0,1,1,0.994444,0.938889,1,1] area_under_roc_curve 0.955026 [0.0,1,1,1,0.9,0.925926,0.925926] area_under_roc_curve 0.935847 [0.0,1,0.759259,1,0.875,1,1] area_under_roc_curve 0.96348 [0.0,1,0.973684,0.897959,1,1,1] area_under_roc_curve 0.948271 [0.0,1,1,0.94898,0.9875,0.777778,1] area_under_roc_curve 0.96721 [0.0,1,0.947368,1,0.95,0.888889,1] area_under_roc_curve 0.902901 [0.0,1,0.947368,0.785714,0.925,0.985294,1] area_under_roc_curve 0.948291 [0.0,0.0,0.944444,0.868132,1,1,1] area_under_roc_curve 0.980769 [0.0,0.0,1,0.945055,1,1,1] area_under_roc_curve 0.93911 [0.0,0.0,1,0.901099,0.906667,0.980392,1] area_under_roc_curve 0.900537 [0.0,0.0,0.944444,0.77381,0.952381,0.941176,0.980392] area_under_roc_curve 0.987059 [0.0,0.0,1,1,0.96,1,0.980392] area_under_roc_curve 0.976923 [0.0,0.0,1,0.934066,1,1,1] area_under_roc_curve 0.976546 [0.0,0.0,1,0.989011,0.933333,0.980392,1] area_under_roc_curve 0.984615 [0.0,0.0,1,0.956044,1,1,1] area_under_roc_curve 0.895666 [0.0,0.0,0.944444,0.879121,0.88,0.941176,0.882353] area_under_roc_curve 0.934321 [0.0,0.0,0.708333,0.988095,0.88,1,0.980392] area_under_roc_curve 0.88997 [0.0,0.0,1,0.89011,0.866667,0.745098,1] area_under_roc_curve 0.972353 [0.0,0.0,1,1,0.96,0.941176,0.941176] area_under_roc_curve 0.962564 [0.0,0.0,1,0.912088,0.973333,1,1] area_under_roc_curve 0.957049 [0.0,0.0,0.944444,0.97619,0.928571,0.960784,0.980392] area_under_roc_curve 0.94 [0.0,0.0,1,0.857143,0.96,1,1] area_under_roc_curve 0.916305 [0.0,0.0,1,0.967033,0.946667,0.607843,1] area_under_roc_curve 0.912481 [0.0,0.0,1,0.967033,0.866667,0.735294,0.980392] area_under_roc_curve 0.917117 [0.0,0.0,0.972222,0.901099,0.853333,0.980392,0.960784] area_under_roc_curve 0.996667 [0.0,0.0,1,1,0.986667,1,1] area_under_roc_curve 0.939244 [0.0,0.0,1,0.952381,0.92,0.843137,0.980392] area_under_roc_curve 0.966706 [0.0,0.0,0.736111,0.988095,0.986667,1,1] area_under_roc_curve 0.938846 [0.0,0.0,0.916667,0.868132,0.973333,1,1] area_under_roc_curve 1 [0.0,0.0,1,1,1,1,1] area_under_roc_curve 0.837934 [0.0,0.0,1,0.758242,0.916667,0.705882,0.916667] area_under_roc_curve 0.897269 [0.0,0.0,1,0.845238,0.880952,0.862745,1] area_under_roc_curve 0.93128 [0.0,0.0,0.972222,0.97619,0.813333,0.96875,0.960784] area_under_roc_curve 0.854047 [0.0,0.0,0.638889,0.862637,0.8,0.941176,0.980392] area_under_roc_curve 0.982773 [0.0,0.0,1,1,0.952381,0.980392,1] area_under_roc_curve 0.916276 [0.0,0.0,0.680556,0.945055,0.893333,0.960784,1] area_under_roc_curve 0.935518 [0.0,0.0,1,0.952381,0.893333,0.843137,1] area_under_roc_curve 0.962113 [0.0,0.0,1,0.928571,0.946667,0.984375,1] area_under_roc_curve 0.939713 [0.0,0.0,1,0.956044,0.973333,0.745098,1] area_under_roc_curve 0.922887 [0.0,0.0,0.680556,0.964286,0.904762,1,0.960784] area_under_roc_curve 0.936538 [0.0,0.0,0.944444,0.89011,0.933333,1,0.972222] area_under_roc_curve 0.990546 [0.0,0.0,1,1,0.988095,0.960784,1] area_under_roc_curve 0.946151 [0.0,0.0,0.972222,0.863095,0.96,1,1] area_under_roc_curve 0.957014 [0.0,0.0,1,0.978022,1,0.764706,1] area_under_roc_curve 0.953571 [0.0,0.0,1,0.916667,0.928571,1,1] area_under_roc_curve 0.964887 [0.0,0.0,0.960784,0.945055,0.96,1,1] area_under_roc_curve 0.99 [0.0,0.0,1,1,0.96,1,1] area_under_roc_curve 0.893922 [0.0,0.0,1,0.833333,0.893333,0.803922,1] area_under_roc_curve 0.939887 [0.0,0.0,0.813725,0.945055,0.96,0.980392,1] area_under_roc_curve 0.951471 [0.0,0.0,1,1,0.916667,0.843137,1] area_under_roc_curve 0.942473 [0.0,0.0,0.694444,0.989011,0.92,0.984375,1] area_under_roc_curve 0.91634 [0.0,0.0,0.972222,0.940476,0.809524,1,0.960784] area_under_roc_curve 0.92381 [0.0,0.0,0.916667,0.892857,0.880952,1,1] area_under_roc_curve 0.986154 [0.0,0.0,1,0.989011,0.96,1,1] area_under_roc_curve 0.979832 [0.0,0.0,0.960784,0.952381,1,1,1] area_under_roc_curve 0.983333 [0.0,0.0,1,1,0.933333,1,1] area_under_roc_curve 0.990392 [0.0,0.0,1,1,0.973333,1,0.980392] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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[0,1,0.8,0.727273,0.727273,0.888889,1] f_measure 0.953077 [0,0,0.8,0.923077,1,1,1] f_measure 0.95035 [0,0,1,0.923077,0.909091,1,1] f_measure 0.689916 [0,0,0.8,0.705882,0.571429,0.666667,0.8] f_measure 0.65 [0,0,0.5,0.571429,0.666667,0.666667,0.857143] f_measure 0.950794 [0,0,1,1,0.888889,1,0.857143] f_measure 0.792802 [0,0,0.666667,0.769231,0.833333,0.857143,0.8] f_measure 0.900794 [0,0,1,0.857143,0.888889,0.857143,1] f_measure 0.904167 [0,0,1,0.833333,1,0.75,1] f_measure 0.744895 [0,0,0.8,0.923077,0.727273,0.666667,0.4] f_measure 0.801905 [0,0,0.666667,0.8,0.666667,1,0.857143] f_measure 0.682738 [0,0,0.666667,0.75,0.6,0.5,0.857143] f_measure 0.795714 [0,0,1,1,0.8,0.4,0.571429] f_measure 0.95035 [0,0,1,0.923077,0.909091,1,1] f_measure 0.731777 [0,0,0.666667,0.769231,0.769231,0.5,0.857143] f_measure 0.9 [0,0,1,0.833333,0.833333,1,1] f_measure 0.783333 [0,0,0.8,0.857143,0.833333,0.5,0.8] f_measure 0.851648 [0,0,1,0.923077,0.8,0.666667,0.857143] f_measure 0.804167 [0,0,0.8,0.833333,0.8,0.8,0.75] f_measure 0.898921 [0,0,1,0.923077,0.909091,0.857143,0.8] f_measure 0.643864 [0,0,0.857143,0.769231,0.666667,0.285714,0.5] f_measure 0.849394 [0,0,0.666667,0.909091,0.8,0.8,1] f_measure 0.66 [0,0,0.4,0.666667,0.666667,0.666667,0.8] f_measure 1 [0,0,1,1,1,1,1] f_measure 0.705769 [0,0,1,0.666667,0.769231,0.5,0.666667] f_measure 0.744286 [0,0,1,0.714286,0.6,0.666667,1] f_measure 0.84359 [0,0,0.666667,0.923077,0.8,0.857143,0.857143] f_measure 0.646364 [0,0,0.5,0.857143,0.545455,0.4,0.666667] f_measure 0.834066 [0,0,1,0.923077,0.666667,0.857143,0.857143] f_measure 0.684167 [0,0,0.666667,0.8,0.6,0.75,0.5] f_measure 0.797143 [0,0,0.8,0.857143,0.8,0.666667,0.8] f_measure 0.852198 [0,0,1,0.769231,0.8,0.857143,1] f_measure 0.83125 [0,0,1,0.875,0.8,0.5,1] f_measure 0.749853 [0,0,0.666667,0.833333,0.615385,0.857143,0.8] f_measure 0.846667 [0,0,0.666667,0.857143,0.8,1,0.8] f_measure 0.901299 [0,0,1,1,0.909091,0.666667,0.857143] f_measure 0.838333 [0,0,0.8,0.666667,0.833333,1,1] f_measure 0.775189 [0,0,0.666667,0.875,0.909091,0.666667,0.5] f_measure 0.795227 [0,0,1,0.909091,0.6,0.75,0.8] f_measure 0.79962 [0,0,0.857143,0.769231,0.727273,0.8,1] f_measure 0.902442 [0,0,1,0.923077,0.888889,0.857143,0.857143] f_measure 0.698247 [0,0,0.5,0.571429,0.727273,0.8,1] f_measure 0.855577 [0,0,0.8,0.923077,0.8,0.75,1] f_measure 0.898571 [0,0,1,1,0.833333,0.8,0.857143] f_measure 0.849744 [0,0,0.666667,0.923077,0.8,0.8,1] f_measure 0.739341 [0,0,0.5,0.769231,0.6,1,0.857143] f_measure 0.796007 [0,0,0.666667,0.769231,0.833333,0.8,0.857143] f_measure 0.842321 [0,0,1,0.875,0.75,0.8,0.857143] f_measure 0.793799 [0,0,0.857143,0.6,0.909091,0.75,1] f_measure 0.952222 [0,0,1,1,0.888889,1,0.8] f_measure 0.896667 [0,0,1,0.933333,0.8,1,0.8] kappa 0.87574 kappa 0.876833 kappa 0.630499 kappa 0.875 kappa 0.804954 kappa 0.876106 kappa 0.683735 kappa 0.681818 kappa 0.871951 kappa 0.617021 kappa 0.744681 kappa 0.759312 kappa 0.813609 kappa 0.817919 kappa 0.629412 kappa 0.806154 kappa 0.6875 kappa 0.873874 kappa 0.697406 kappa 0.73913 kappa 0.753666 kappa 0.819484 kappa 0.880342 kappa 0.814706 kappa 0.70255 kappa 0.698276 kappa 0.755814 kappa 0.813609 kappa 1 kappa 0.818966 kappa 0.753666 kappa 0.631579 kappa 0.813609 kappa 0.878613 kappa 0.6875 kappa 0.642045 kappa 0.766667 kappa 0.636888 kappa 0.507331 kappa 0.937685 kappa 0.694767 kappa 0.876833 kappa 0.759312 kappa 0.939306 kappa 0.698276 kappa 0.813609 kappa 0.817919 kappa 0.749254 kappa 0.876833 kappa 0.761364 kappa 0.935275 kappa 0.934641 kappa 0.598662 kappa 0.546926 kappa 0.934641 kappa 0.735974 kappa 0.869281 kappa 0.871795 kappa 0.674267 kappa 0.742765 kappa 0.59322 kappa 0.736842 kappa 0.934211 kappa 0.665552 kappa 0.87013 kappa 0.734219 kappa 0.805195 kappa 0.744409 kappa 0.869281 kappa 0.549839 kappa 0.806452 kappa 0.555556 kappa 1 kappa 0.602649 kappa 0.673203 kappa 0.80456 kappa 0.536424 kappa 0.807692 kappa 0.598662 kappa 0.738562 kappa 0.805195 kappa 0.797297 kappa 0.668874 kappa 0.801325 kappa 0.87055 kappa 0.810127 kappa 0.726962 kappa 0.746835 kappa 0.738562 kappa 0.870968 kappa 0.605263 kappa 0.805195 kappa 0.869281 kappa 0.80198 kappa 0.676375 kappa 0.735099 kappa 0.8 kappa 0.746032 kappa 0.934853 kappa 0.866667 kb_relative_information_score 17.880581 kb_relative_information_score 18.639375 kb_relative_information_score 13.340339 kb_relative_information_score 17.56548 kb_relative_information_score 16.225514 kb_relative_information_score 17.541948 kb_relative_information_score 15.130867 kb_relative_information_score 14.341169 kb_relative_information_score 17.879916 kb_relative_information_score 13.232688 kb_relative_information_score 15.471241 kb_relative_information_score 15.46796 kb_relative_information_score 15.377445 kb_relative_information_score 16.912887 kb_relative_information_score 13.479512 kb_relative_information_score 14.793449 kb_relative_information_score 13.29953 kb_relative_information_score 17.517954 kb_relative_information_score 15.637974 kb_relative_information_score 15.350844 kb_relative_information_score 17.049344 kb_relative_information_score 17.58975 kb_relative_information_score 19.10044 kb_relative_information_score 17.823979 kb_relative_information_score 16.306244 kb_relative_information_score 15.769205 kb_relative_information_score 17.185365 kb_relative_information_score 17.450494 kb_relative_information_score 21.464035 kb_relative_information_score 17.637223 kb_relative_information_score 16.283482 kb_relative_information_score 14.162687 kb_relative_information_score 18.047657 kb_relative_information_score 18.883468 kb_relative_information_score 15.654262 kb_relative_information_score 15.428149 kb_relative_information_score 17.264505 kb_relative_information_score 15.095993 kb_relative_information_score 13.191796 kb_relative_information_score 19.894925 kb_relative_information_score 15.362345 kb_relative_information_score 17.474587 kb_relative_information_score 17.291197 kb_relative_information_score 20.063179 kb_relative_information_score 14.902085 kb_relative_information_score 17.693757 kb_relative_information_score 18.399677 kb_relative_information_score 17.34423 kb_relative_information_score 16.80293 kb_relative_information_score 16.777821 kb_relative_information_score 17.368249 kb_relative_information_score 17.681071 kb_relative_information_score 13.044164 kb_relative_information_score 11.213986 kb_relative_information_score 17.673916 kb_relative_information_score 15.353965 kb_relative_information_score 16.518845 kb_relative_information_score 16.737475 kb_relative_information_score 12.446109 kb_relative_information_score 14.890002 kb_relative_information_score 13.060815 kb_relative_information_score 15.293527 kb_relative_information_score 17.09803 kb_relative_information_score 13.171925 kb_relative_information_score 16.457257 kb_relative_information_score 14.276841 kb_relative_information_score 14.838812 kb_relative_information_score 14.45333 kb_relative_information_score 15.832463 kb_relative_information_score 12.941342 kb_relative_information_score 15.856509 kb_relative_information_score 11.851354 kb_relative_information_score 18.887376 kb_relative_information_score 11.709925 kb_relative_information_score 13.950321 kb_relative_information_score 15.241571 kb_relative_information_score 11.345763 kb_relative_information_score 15.956393 kb_relative_information_score 12.537102 kb_relative_information_score 13.636148 kb_relative_information_score 16.127023 kb_relative_information_score 15.223439 kb_relative_information_score 13.531715 kb_relative_information_score 15.193357 kb_relative_information_score 16.641996 kb_relative_information_score 16.096147 kb_relative_information_score 14.551303 kb_relative_information_score 15.76284 kb_relative_information_score 15.094176 kb_relative_information_score 15.986154 kb_relative_information_score 12.741196 kb_relative_information_score 15.354193 kb_relative_information_score 16.613427 kb_relative_information_score 15.041297 kb_relative_information_score 13.562573 kb_relative_information_score 14.40229 kb_relative_information_score 15.841625 kb_relative_information_score 15.936288 kb_relative_information_score 16.908401 kb_relative_information_score 16.011804 mean_absolute_error 0.031928 mean_absolute_error 0.038896 mean_absolute_error 0.088645 mean_absolute_error 0.039258 mean_absolute_error 0.043774 mean_absolute_error 0.036492 mean_absolute_error 0.059332 mean_absolute_error 0.071344 mean_absolute_error 0.028202 mean_absolute_error 0.080496 mean_absolute_error 0.051321 mean_absolute_error 0.087181 mean_absolute_error 0.062509 mean_absolute_error 0.046311 mean_absolute_error 0.088724 mean_absolute_error 0.065425 mean_absolute_error 0.085819 mean_absolute_error 0.032495 mean_absolute_error 0.060623 mean_absolute_error 0.052065 mean_absolute_error 0.052366 mean_absolute_error 0.054879 mean_absolute_error 0.037992 mean_absolute_error 0.044757 mean_absolute_error 0.06561 mean_absolute_error 0.072283 mean_absolute_error 0.064023 mean_absolute_error 0.049459 mean_absolute_error 0.0046 mean_absolute_error 0.052361 mean_absolute_error 0.068309 mean_absolute_error 0.081774 mean_absolute_error 0.047533 mean_absolute_error 0.033116 mean_absolute_error 0.070121 mean_absolute_error 0.083605 mean_absolute_error 0.063794 mean_absolute_error 0.086332 mean_absolute_error 0.107045 mean_absolute_error 0.018267 mean_absolute_error 0.075485 mean_absolute_error 0.04143 mean_absolute_error 0.057651 mean_absolute_error 0.023899 mean_absolute_error 0.085552 mean_absolute_error 0.049621 mean_absolute_error 0.044552 mean_absolute_error 0.057023 mean_absolute_error 0.058523 mean_absolute_error 0.069565 mean_absolute_error 0.029318 mean_absolute_error 0.02458 mean_absolute_error 0.078503 mean_absolute_error 0.11165 mean_absolute_error 0.022747 mean_absolute_error 0.05172 mean_absolute_error 0.040753 mean_absolute_error 0.038874 mean_absolute_error 0.082984 mean_absolute_error 0.065565 mean_absolute_error 0.080242 mean_absolute_error 0.0498 mean_absolute_error 0.031671 mean_absolute_error 0.073754 mean_absolute_error 0.043499 mean_absolute_error 0.058302 mean_absolute_error 0.062576 mean_absolute_error 0.065736 mean_absolute_error 0.046679 mean_absolute_error 0.095781 mean_absolute_error 0.047301 mean_absolute_error 0.093635 mean_absolute_error 0.012376 mean_absolute_error 0.096257 mean_absolute_error 0.078449 mean_absolute_error 0.053886 mean_absolute_error 0.097437 mean_absolute_error 0.04735 mean_absolute_error 0.087602 mean_absolute_error 0.076486 mean_absolute_error 0.049288 mean_absolute_error 0.051531 mean_absolute_error 0.073287 mean_absolute_error 0.050883 mean_absolute_error 0.034269 mean_absolute_error 0.054539 mean_absolute_error 0.053523 mean_absolute_error 0.056925 mean_absolute_error 0.06461 mean_absolute_error 0.048577 mean_absolute_error 0.087104 mean_absolute_error 0.051209 mean_absolute_error 0.035778 mean_absolute_error 0.053733 mean_absolute_error 0.075575 mean_absolute_error 0.060574 mean_absolute_error 0.041835 mean_absolute_error 0.052816 mean_absolute_error 0.037983 mean_absolute_error 0.04247 mean_prior_absolute_error 0.221345 mean_prior_absolute_error 0.220832 mean_prior_absolute_error 0.219291 mean_prior_absolute_error 0.221345 mean_prior_absolute_error 0.218971 mean_prior_absolute_error 0.219291 mean_prior_absolute_error 0.219612 mean_prior_absolute_error 0.218971 mean_prior_absolute_error 0.218971 mean_prior_absolute_error 0.219291 mean_prior_absolute_error 0.219291 mean_prior_absolute_error 0.223399 mean_prior_absolute_error 0.219291 mean_prior_absolute_error 0.221345 mean_prior_absolute_error 0.221024 mean_prior_absolute_error 0.219291 mean_prior_absolute_error 0.221859 mean_prior_absolute_error 0.220703 mean_prior_absolute_error 0.221538 mean_prior_absolute_error 0.219291 mean_prior_absolute_error 0.220832 mean_prior_absolute_error 0.223399 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222885 mean_prior_absolute_error 0.220832 mean_prior_absolute_error 0.223078 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.223399 mean_prior_absolute_error 0.220832 mean_prior_absolute_error 0.220832 mean_prior_absolute_error 0.221538 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222885 mean_prior_absolute_error 0.223399 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.223399 mean_prior_absolute_error 0.220832 mean_prior_absolute_error 0.220832 mean_prior_absolute_error 0.220703 mean_prior_absolute_error 0.222885 mean_prior_absolute_error 0.223399 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222885 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222564 mean_prior_absolute_error 0.222244 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.220013 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.222035 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.21934 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.222709 mean_prior_absolute_error 0.222035 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.222035 mean_prior_absolute_error 0.217857 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.222035 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.222709 mean_prior_absolute_error 0.222035 mean_prior_absolute_error 0.220013 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.21934 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.222035 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.220889 mean_prior_absolute_error 0.220013 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.222709 mean_prior_absolute_error 0.220013 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.21934 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.220553 mean_prior_absolute_error 0.219677 mean_prior_absolute_error 0.220889 mean_prior_absolute_error 0.220013 mean_prior_absolute_error 0.219677 number_of_instances 21 [0,0,3,7,5,3,3] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 21 [0,0,2,7,6,3,3] number_of_instances 21 [0,0,3,7,5,3,3] number_of_instances 21 [0,0,2,7,6,4,2] number_of_instances 21 [0,0,2,7,6,3,3] number_of_instances 21 [0,0,3,7,6,3,2] number_of_instances 21 [0,0,2,7,6,4,2] number_of_instances 21 [0,0,2,7,6,4,2] number_of_instances 21 [0,0,2,7,6,3,3] number_of_instances 21 [0,0,2,7,6,3,3] number_of_instances 21 [0,1,2,6,6,3,3] number_of_instances 21 [0,0,2,7,6,3,3] number_of_instances 21 [0,0,3,7,5,3,3] number_of_instances 21 [0,0,3,7,5,4,2] number_of_instances 21 [0,0,2,7,6,3,3] number_of_instances 21 [0,0,3,6,6,4,2] number_of_instances 21 [0,0,2,7,5,4,3] number_of_instances 21 [0,0,2,6,6,4,3] number_of_instances 21 [0,0,2,7,6,3,3] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 21 [0,1,2,6,6,3,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,3,7,5,3,2] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 21 [0,1,2,6,6,4,2] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,2,6,6,3,3] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 21 [0,0,2,6,6,4,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,3,7,5,3,2] number_of_instances 21 [0,1,2,6,6,3,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,2,6,6,3,3] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 21 [0,0,2,7,5,4,3] number_of_instances 21 [0,1,3,7,5,3,2] number_of_instances 21 [0,1,2,6,6,3,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,3,7,5,3,2] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,2,7,5,3,3] number_of_instances 21 [0,1,2,7,5,4,2] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,3,7,5,3,2] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,6,5,4,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,4,2] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,3,6,5,3,3] number_of_instances 20 [0,0,2,6,5,4,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,6,5,4,3] number_of_instances 20 [0,0,2,7,6,3,2] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,6,5,4,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,3,6,5,3,3] number_of_instances 20 [0,0,2,6,5,4,3] number_of_instances 20 [0,0,3,7,5,3,2] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,7,5,4,2] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,6,5,4,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,3,6,6,3,2] number_of_instances 20 [0,0,3,7,5,3,2] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,3,6,5,3,3] number_of_instances 20 [0,0,3,7,5,3,2] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,7,5,4,2] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,6,6,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,3,6,6,3,2] number_of_instances 20 [0,0,3,7,5,3,2] number_of_instances 20 [0,0,2,7,5,3,3] precision 0.922619 [0,0,1,0.875,1,1,0.75] precision 0.916667 [0,1,1,0.857143,1,0.75,1] precision 0.734127 [0,0,0.333333,0.857143,0.75,0.75,0.666667] precision 0.910714 [0,0,1,0.875,0.8,1,1] precision 0.9 [0,0,1,0.7,1,1,1] precision 0.923469 [0,0,1,1,0.857143,0.75,1] precision 0.759259 [0,0,1,0.777778,0.75,0.666667,0.5] precision 0.759637 [0,0,1,0.857143,0.714286,0.666667,0.5] precision 0.911565 [0,0,1,0.857143,0.857143,1,1] precision 0.653175 [0,0,1,0.666667,0.8,0,0.75] precision 0.815476 [0,0,1,0.875,0.833333,0.666667,0.666667] precision 0.838095 [0,1,1,0.833333,0.8,1,0.6] precision 0.895238 [0,0,1,1,0.833333,0.6,1] precision 0.907143 [0,0,0.6,1,1,0.75,1] precision 0.747166 [0,0,1,0.833333,0.571429,0.666667,0.666667] precision 0.761905 [0,0,1,1,0.666667,0,1] precision 0.727891 [0,0,0.666667,0.833333,0.714286,1,0] precision 0.910714 [0,0,1,0.875,0.8,1,1] precision 0.803288 [0,0,0.666667,0.714286,1,0.75,0.75] precision 0.844293 [0,0,1,0.777778,0.714286,1,1] precision 0.837302 [0,1,1,0.75,1,0.666667,0.666667] precision 0.869048 [0,1,1,1,0.833333,0.75,0.666667] precision 0.928571 [0,1,0.666667,1,0.833333,1,1] precision 0.875 [0,1,1,0.875,0.8,1,0.75] precision 0.831746 [0,1,0.5,1,0.833333,0.6,1] precision 0.831746 [0,1,1,0.857143,1,0.6,0.333333] precision 0.821429 [0,1,1,0.75,0.625,1,1] precision 0.878968 [0,1,1,0.875,0.666667,1,1] precision 1 [0,1,1,1,1,1,1] precision 0.888889 [0,1,0.666667,1,0.833333,1,0.666667] precision 0.880952 [0,1,0.5,1,0.75,1,1] precision 0.714286 [0,0,1,0.833333,0.6,0.6,0.666667] precision 0.866402 [0,1,1,0.777778,0.75,1,1] precision 0.916667 [0,1,1,1,1,0.75,0.666667] precision 0.814626 [0,1,1,0.75,0.571429,1,1] precision 0.742063 [0,1,0.666667,0.833333,0.75,0.666667,0.5] precision 0.880952 [0,1,0.5,1,1,0.75,0.75] precision 0.738095 [0,0.5,1,0.714286,0.75,0.75,0.666667] precision 0.62619 [0,0,0.5,0.625,0.6,1,0.6] precision 0.958333 [0,1,1,0.875,1,1,1] precision 0.77619 [0,1,1,0.857143,0.75,0.6,0.5] precision 0.920635 [0,0,0.666667,0.857143,1,1,1] precision 0.849206 [0,1,1,0.857143,1,0.5,0.666667] precision 0.959184 [0,1,1,0.857143,1,1,1] precision 0.785714 [0,1,1,1,0.8,0.5,0.333333] precision 0.866402 [0,1,1,0.777778,0.75,1,1] precision 0.857143 [0,1,0.5,0.833333,0.833333,1,1] precision 0.84127 [0,1,1,0.666667,0.8,1,1] precision 0.880952 [0,0,0.666667,1,0.833333,1,1] precision 0.850794 [0,1,0.666667,1,0.666667,0.8,1] precision 0.966667 [0,0,0.666667,1,1,1,1] precision 0.958333 [0,0,1,1,0.833333,1,1] precision 0.776667 [0,0,1,0.6,1,0.666667,0.666667] precision 0.7125 [0,0,0.5,0.5,1,0.666667,0.75] precision 0.9625 [0,0,1,1,1,1,0.75] precision 0.832738 [0,0,1,0.833333,0.714286,0.75,1] precision 0.9125 [0,0,1,0.857143,1,0.75,1] precision 0.94 [0,0,1,1,1,0.6,1] precision 0.758333 [0,0,0.666667,1,0.666667,0.666667,0.5] precision 0.855357 [0,0,1,1,0.571429,1,0.75] precision 0.745833 [0,0,1,0.666667,0.6,1,0.75] precision 0.8 [0,0,1,1,0.8,0.5,0.5] precision 0.958333 [0,0,1,1,0.833333,1,1] precision 0.791071 [0,0,1,0.714286,0.714286,1,0.75] precision 0.928571 [0,0,1,1,0.714286,1,1] precision 0.845238 [0,0,0.666667,0.857143,0.714286,1,1] precision 0.8625 [0,0,1,1,0.8,0.666667,0.75] precision 0.856667 [0,0,0.666667,1,0.8,1,0.6] precision 0.920833 [0,0,1,1,0.833333,0.75,1] precision 0.701786 [0,0,0.75,0.714286,0.75,0.25,1] precision 0.883333 [0,0,1,1,0.8,0.666667,1] precision 0.725833 [0,0,0.333333,0.8,0.75,0.5,1] precision 1 [0,0,1,1,1,1,1] precision 0.754286 [0,0,1,0.8,0.714286,0.4,1] precision 0.7625 [0,0,1,0.625,0.75,0.666667,1] precision 0.869643 [0,0,1,0.857143,0.8,1,0.75] precision 0.65 [0,0,0.5,0.857143,0.5,0.5,0.666667] precision 0.882143 [0,0,1,0.857143,1,0.75,0.75] precision 0.7525 [0,0,1,0.75,0.6,0.6,1] precision 0.825 [0,0,1,0.75,0.8,0.666667,1] precision 0.864286 [0,0,1,0.714286,0.8,1,1] precision 0.872222 [0,0,1,0.777778,0.8,1,1] precision 0.783929 [0,0,1,0.833333,0.571429,0.75,1] precision 0.866667 [0,0,1,0.857143,0.8,1,0.666667] precision 0.9125 [0,0,1,1,1,0.666667,0.75] precision 0.895238 [0,0,0.666667,1,0.714286,1,1] precision 0.830556 [0,0,1,0.777778,0.833333,0.666667,1] precision 0.831667 [0,0,1,1,0.75,0.6,0.666667] precision 0.820833 [0,0,0.75,0.833333,0.666667,1,1] precision 0.925 [0,0,1,1,1,0.75,0.75] precision 0.766667 [0,0,1,0.5,0.666667,1,1] precision 0.89 [0,0,1,1,0.8,0.6,1] precision 0.9125 [0,0,1,1,0.833333,1,0.75] precision 0.883333 [0,0,1,1,0.8,0.666667,1] precision 0.751786 [0,0,0.5,0.714286,0.75,1,0.75] precision 0.826786 [0,0,1,0.714286,0.833333,1,0.75] precision 0.884722 [0,0,1,0.777778,1,1,0.75] precision 0.8275 [0,0,0.75,0.75,1,0.6,1] precision 0.966667 [0,0,1,1,1,1,0.666667] precision 0.90625 [0,0,1,0.875,0.8,1,1] predictive_accuracy 0.904762 predictive_accuracy 0.904762 predictive_accuracy 0.714286 predictive_accuracy 0.904762 predictive_accuracy 0.857143 predictive_accuracy 0.904762 predictive_accuracy 0.761905 predictive_accuracy 0.761905 predictive_accuracy 0.904762 predictive_accuracy 0.714286 predictive_accuracy 0.809524 predictive_accuracy 0.809524 predictive_accuracy 0.857143 predictive_accuracy 0.857143 predictive_accuracy 0.714286 predictive_accuracy 0.857143 predictive_accuracy 0.761905 predictive_accuracy 0.904762 predictive_accuracy 0.761905 predictive_accuracy 0.809524 predictive_accuracy 0.809524 predictive_accuracy 0.857143 predictive_accuracy 0.904762 predictive_accuracy 0.857143 predictive_accuracy 0.761905 predictive_accuracy 0.761905 predictive_accuracy 0.809524 predictive_accuracy 0.857143 predictive_accuracy 1 predictive_accuracy 0.857143 predictive_accuracy 0.809524 predictive_accuracy 0.714286 predictive_accuracy 0.857143 predictive_accuracy 0.904762 predictive_accuracy 0.761905 predictive_accuracy 0.714286 predictive_accuracy 0.809524 predictive_accuracy 0.714286 predictive_accuracy 0.619048 predictive_accuracy 0.952381 predictive_accuracy 0.761905 predictive_accuracy 0.904762 predictive_accuracy 0.809524 predictive_accuracy 0.952381 predictive_accuracy 0.761905 predictive_accuracy 0.857143 predictive_accuracy 0.857143 predictive_accuracy 0.809524 predictive_accuracy 0.904762 predictive_accuracy 0.809524 predictive_accuracy 0.95 predictive_accuracy 0.95 predictive_accuracy 0.7 predictive_accuracy 0.65 predictive_accuracy 0.95 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.75 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.95 predictive_accuracy 0.75 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.85 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.65 predictive_accuracy 0.85 predictive_accuracy 0.65 predictive_accuracy 1 predictive_accuracy 0.7 predictive_accuracy 0.75 predictive_accuracy 0.85 predictive_accuracy 0.65 predictive_accuracy 0.85 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.85 predictive_accuracy 0.85 predictive_accuracy 0.75 predictive_accuracy 0.85 predictive_accuracy 0.9 predictive_accuracy 0.85 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.85 predictive_accuracy 0.9 predictive_accuracy 0.85 predictive_accuracy 0.75 predictive_accuracy 0.8 predictive_accuracy 0.85 predictive_accuracy 0.8 predictive_accuracy 0.95 predictive_accuracy 0.9 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 prior_entropy 2.326811 recall 0.904762 [0,0,0.666667,1,0.8,1,1] recall 0.904762 [0,1,1,0.857143,0.833333,1,1] recall 0.714286 [0,0,0.5,0.857143,0.5,1,0.666667] recall 0.904762 [0,0,1,1,0.8,0.666667,1] recall 0.857143 [0,0,0.5,1,0.833333,0.75,1] recall 0.904762 [0,0,1,0.714286,1,1,1] recall 0.761905 [0,0,1,1,0.5,0.666667,0.5] recall 0.761905 [0,0,1,0.857143,0.833333,0.5,0.5] recall 0.904762 [0,0,0.5,0.857143,1,1,1] recall 0.714286 [0,0,1,0.857143,0.666667,0,1] recall 0.809524 [0,0,0.5,1,0.833333,0.666667,0.666667] recall 0.809524 [0,1,1,0.833333,0.666667,0.666667,1] recall 0.857143 [0,0,1,0.857143,0.833333,1,0.666667] recall 0.857143 [0,0,1,0.857143,0.8,1,0.666667] recall 0.714286 [0,0,0.666667,0.714286,0.8,0.5,1] recall 0.857143 [0,0,1,1,1,0,1] recall 0.761905 [0,0,0.666667,0.833333,0.833333,1,0] recall 0.904762 [0,0,0.5,1,0.8,1,1] recall 0.761905 [0,0,1,0.833333,0.5,0.75,1] recall 0.809524 [0,0,0.5,1,0.833333,0.333333,1] recall 0.809524 [0,1,1,0.857143,0.666667,0.666667,1] recall 0.857143 [0,1,1,0.833333,0.833333,1,0.666667] recall 0.904762 [0,1,1,0.714286,1,1,1] recall 0.857143 [0,1,1,1,0.8,0.333333,1] recall 0.761905 [0,1,0.666667,0.571429,1,1,0.5] recall 0.761905 [0,1,1,0.857143,0.5,1,0.5] recall 0.809524 [0,1,1,0.5,0.833333,1,1] recall 0.857143 [0,1,1,1,0.8,0.666667,0.666667] recall 1 [0,1,1,1,1,1,1] recall 0.857143 [0,1,1,0.714286,0.833333,1,1] recall 0.809524 [0,1,1,0.714286,1,0.666667,0.5] recall 0.714286 [0,0,1,0.833333,0.5,0.75,0.666667] recall 0.857143 [0,1,1,1,0.6,0.666667,1] recall 0.904762 [0,1,1,1,0.8,1,0.666667] recall 0.761905 [0,1,1,0.857143,0.8,0.333333,0.666667] recall 0.714286 [0,1,0.666667,0.714286,0.6,0.666667,1] recall 0.809524 [0,1,1,0.833333,0.5,1,1] recall 0.714286 [0,1,0.5,0.714286,0.6,1,0.666667] recall 0.619048 [0,0,0.5,0.833333,0.5,0.333333,1] recall 0.952381 [0,1,1,1,0.833333,1,1] recall 0.761905 [0,1,1,0.857143,0.5,1,0.5] recall 0.904762 [0,0,1,0.857143,0.8,1,1] recall 0.809524 [0,1,1,0.857143,0.6,0.666667,1] recall 0.952381 [0,1,1,1,0.833333,1,1] recall 0.761905 [0,1,1,0.857143,0.8,0.666667,0.333333] recall 0.857143 [0,1,0.666667,1,0.6,1,1] recall 0.857143 [0,1,0.5,0.714286,1,1,1] recall 0.809524 [0,1,0.5,0.857143,0.8,0.666667,1] recall 0.904762 [0,0,1,1,1,0.666667,1] recall 0.809524 [0,1,1,0.571429,0.8,1,1] recall 0.95 [0,0,1,0.857143,1,1,1] recall 0.95 [0,0,1,0.857143,1,1,1] recall 0.7 [0,0,0.666667,0.857143,0.4,0.666667,1] recall 0.65 [0,0,0.5,0.666667,0.5,0.666667,1] recall 0.95 [0,0,1,1,0.8,1,1] recall 0.8 [0,0,0.5,0.714286,1,1,0.666667] recall 0.9 [0,0,1,0.857143,0.8,1,1] recall 0.9 [0,0,1,0.714286,1,1,1] recall 0.75 [0,0,1,0.857143,0.8,0.666667,0.333333] recall 0.8 [0,0,0.5,0.666667,0.8,1,1] recall 0.7 [0,0,0.5,0.857143,0.6,0.333333,1] recall 0.8 [0,0,1,1,0.8,0.333333,0.666667] recall 0.95 [0,0,1,0.857143,1,1,1] recall 0.75 [0,0,0.5,0.833333,0.833333,0.333333,1] recall 0.9 [0,0,1,0.714286,1,1,1] recall 0.8 [0,0,1,0.857143,1,0.333333,0.666667] recall 0.85 [0,0,1,0.857143,0.8,0.666667,1] recall 0.8 [0,0,1,0.714286,0.8,0.666667,1] recall 0.9 [0,0,1,0.857143,1,1,0.666667] recall 0.65 [0,0,1,0.833333,0.6,0.333333,0.333333] recall 0.85 [0,0,0.5,0.833333,0.8,1,1] recall 0.65 [0,0,0.5,0.571429,0.6,1,0.666667] recall 1 [0,0,1,1,1,1,1] recall 0.7 [0,0,1,0.571429,0.833333,0.666667,0.5] recall 0.75 [0,0,1,0.833333,0.5,0.666667,1] recall 0.85 [0,0,0.5,1,0.8,0.75,1] recall 0.65 [0,0,0.5,0.857143,0.6,0.333333,0.666667] recall 0.85 [0,0,1,1,0.5,1,1] recall 0.7 [0,0,0.5,0.857143,0.6,1,0.333333] recall 0.8 [0,0,0.666667,1,0.8,0.666667,0.666667] recall 0.85 [0,0,1,0.833333,0.8,0.75,1] recall 0.85 [0,0,1,1,0.8,0.333333,1] recall 0.75 [0,0,0.5,0.833333,0.666667,1,0.666667] recall 0.85 [0,0,0.5,0.857143,0.8,1,1] recall 0.9 [0,0,1,1,0.833333,0.666667,1] recall 0.85 [0,0,1,0.5,1,1,1] recall 0.8 [0,0,0.5,1,1,0.666667,0.333333] recall 0.8 [0,0,1,0.833333,0.5,1,1] recall 0.8 [0,0,1,0.714286,0.8,0.666667,1] recall 0.9 [0,0,1,0.857143,0.8,1,1] recall 0.7 [0,0,0.333333,0.666667,0.8,0.666667,1] recall 0.85 [0,0,0.666667,0.857143,0.8,1,1] recall 0.9 [0,0,1,1,0.833333,0.666667,1] recall 0.85 [0,0,0.5,0.857143,0.8,1,1] recall 0.75 [0,0,0.5,0.833333,0.5,1,1] recall 0.8 [0,0,0.5,0.833333,0.833333,0.666667,1] recall 0.85 [0,0,1,1,0.6,0.666667,1] recall 0.8 [0,0,1,0.5,0.833333,1,1] recall 0.95 [0,0,1,1,0.8,1,1] recall 0.9 [0,0,1,1,0.8,1,0.666667] relative_absolute_error 0.144247 relative_absolute_error 0.176135 relative_absolute_error 0.404232 relative_absolute_error 0.177361 relative_absolute_error 0.199907 relative_absolute_error 0.166406 relative_absolute_error 0.270166 relative_absolute_error 0.325816 relative_absolute_error 0.128793 relative_absolute_error 0.367073 relative_absolute_error 0.234029 relative_absolute_error 0.390248 relative_absolute_error 0.285049 relative_absolute_error 0.209225 relative_absolute_error 0.401421 relative_absolute_error 0.298348 relative_absolute_error 0.38682 relative_absolute_error 0.147236 relative_absolute_error 0.273646 relative_absolute_error 0.237426 relative_absolute_error 0.237131 relative_absolute_error 0.245653 relative_absolute_error 0.1707 relative_absolute_error 0.201098 relative_absolute_error 0.294367 relative_absolute_error 0.327324 relative_absolute_error 0.286999 relative_absolute_error 0.222222 relative_absolute_error 0.020591 relative_absolute_error 0.237106 relative_absolute_error 0.309328 relative_absolute_error 0.369121 relative_absolute_error 0.213568 relative_absolute_error 0.148794 relative_absolute_error 0.31506 relative_absolute_error 0.375104 relative_absolute_error 0.28556 relative_absolute_error 0.387896 relative_absolute_error 0.479164 relative_absolute_error 0.082717 relative_absolute_error 0.341821 relative_absolute_error 0.187718 relative_absolute_error 0.258656 relative_absolute_error 0.10698 relative_absolute_error 0.384393 relative_absolute_error 0.222632 relative_absolute_error 0.200175 relative_absolute_error 0.256208 relative_absolute_error 0.262951 relative_absolute_error 0.313012 relative_absolute_error 0.13346 relative_absolute_error 0.111894 relative_absolute_error 0.356812 relative_absolute_error 0.506229 relative_absolute_error 0.103548 relative_absolute_error 0.235437 relative_absolute_error 0.185515 relative_absolute_error 0.176959 relative_absolute_error 0.377755 relative_absolute_error 0.29529 relative_absolute_error 0.365272 relative_absolute_error 0.226697 relative_absolute_error 0.144395 relative_absolute_error 0.334405 relative_absolute_error 0.198012 relative_absolute_error 0.265398 relative_absolute_error 0.284855 relative_absolute_error 0.299238 relative_absolute_error 0.212488 relative_absolute_error 0.430074 relative_absolute_error 0.213032 relative_absolute_error 0.426242 relative_absolute_error 0.055741 relative_absolute_error 0.441836 relative_absolute_error 0.355691 relative_absolute_error 0.24269 relative_absolute_error 0.443547 relative_absolute_error 0.214687 relative_absolute_error 0.398778 relative_absolute_error 0.343437 relative_absolute_error 0.221983 relative_absolute_error 0.234216 relative_absolute_error 0.332287 relative_absolute_error 0.231983 relative_absolute_error 0.155377 relative_absolute_error 0.24563 relative_absolute_error 0.243643 relative_absolute_error 0.257707 relative_absolute_error 0.293665 relative_absolute_error 0.221128 relative_absolute_error 0.391112 relative_absolute_error 0.232755 relative_absolute_error 0.16222 relative_absolute_error 0.244974 relative_absolute_error 0.342662 relative_absolute_error 0.274645 relative_absolute_error 0.190437 relative_absolute_error 0.239106 relative_absolute_error 0.172637 relative_absolute_error 0.193329 root_mean_prior_squared_error 0.3324 root_mean_prior_squared_error 0.331627 root_mean_prior_squared_error 0.329296 root_mean_prior_squared_error 0.3324 root_mean_prior_squared_error 0.328809 root_mean_prior_squared_error 0.329296 root_mean_prior_squared_error 0.329783 root_mean_prior_squared_error 0.328809 root_mean_prior_squared_error 0.328809 root_mean_prior_squared_error 0.329296 root_mean_prior_squared_error 0.329296 root_mean_prior_squared_error 0.335475 root_mean_prior_squared_error 0.329296 root_mean_prior_squared_error 0.3324 root_mean_prior_squared_error 0.331917 root_mean_prior_squared_error 0.329296 root_mean_prior_squared_error 0.333171 root_mean_prior_squared_error 0.331433 root_mean_prior_squared_error 0.332689 root_mean_prior_squared_error 0.329296 root_mean_prior_squared_error 0.331627 root_mean_prior_squared_error 0.335475 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.334709 root_mean_prior_squared_error 0.331627 root_mean_prior_squared_error 0.334996 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.335475 root_mean_prior_squared_error 0.331627 root_mean_prior_squared_error 0.331627 root_mean_prior_squared_error 0.332689 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.334709 root_mean_prior_squared_error 0.335475 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.335475 root_mean_prior_squared_error 0.331627 root_mean_prior_squared_error 0.331627 root_mean_prior_squared_error 0.331433 root_mean_prior_squared_error 0.334709 root_mean_prior_squared_error 0.335475 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.334709 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.334229 root_mean_prior_squared_error 0.333749 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.330391 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.333436 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.329369 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.334445 root_mean_prior_squared_error 0.333436 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.333436 root_mean_prior_squared_error 0.327111 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.333436 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.334445 root_mean_prior_squared_error 0.333436 root_mean_prior_squared_error 0.330391 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.329369 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.333436 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.331714 root_mean_prior_squared_error 0.330391 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.334445 root_mean_prior_squared_error 0.330391 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.329369 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.331206 root_mean_prior_squared_error 0.32988 root_mean_prior_squared_error 0.331714 root_mean_prior_squared_error 0.330391 root_mean_prior_squared_error 0.32988 root_mean_squared_error 0.155915 root_mean_squared_error 0.137243 root_mean_squared_error 0.25606 root_mean_squared_error 0.157493 root_mean_squared_error 0.184569 root_mean_squared_error 0.138368 root_mean_squared_error 0.211955 root_mean_squared_error 0.227619 root_mean_squared_error 0.14348 root_mean_squared_error 0.266261 root_mean_squared_error 0.202471 root_mean_squared_error 0.233733 root_mean_squared_error 0.20788 root_mean_squared_error 0.185638 root_mean_squared_error 0.261568 root_mean_squared_error 0.220249 root_mean_squared_error 0.256024 root_mean_squared_error 0.165212 root_mean_squared_error 0.215596 root_mean_squared_error 0.216152 root_mean_squared_error 0.191288 root_mean_squared_error 0.206833 root_mean_squared_error 0.153403 root_mean_squared_error 0.18291 root_mean_squared_error 0.236538 root_mean_squared_error 0.219778 root_mean_squared_error 0.234089 root_mean_squared_error 0.191506 root_mean_squared_error 0.025478 root_mean_squared_error 0.199119 root_mean_squared_error 0.213474 root_mean_squared_error 0.260482 root_mean_squared_error 0.186413 root_mean_squared_error 0.163822 root_mean_squared_error 0.24265 root_mean_squared_error 0.260716 root_mean_squared_error 0.21247 root_mean_squared_error 0.242822 root_mean_squared_error 0.303684 root_mean_squared_error 0.098107 root_mean_squared_error 0.244037 root_mean_squared_error 0.178725 root_mean_squared_error 0.220019 root_mean_squared_error 0.121883 root_mean_squared_error 0.22417 root_mean_squared_error 0.199798 root_mean_squared_error 0.181357 root_mean_squared_error 0.216966 root_mean_squared_error 0.184776 root_mean_squared_error 0.227291 root_mean_squared_error 0.136493 root_mean_squared_error 0.123349 root_mean_squared_error 0.257381 root_mean_squared_error 0.295638 root_mean_squared_error 0.119526 root_mean_squared_error 0.191233 root_mean_squared_error 0.159815 root_mean_squared_error 0.143281 root_mean_squared_error 0.268478 root_mean_squared_error 0.217097 root_mean_squared_error 0.251329 root_mean_squared_error 0.192252 root_mean_squared_error 0.142682 root_mean_squared_error 0.241836 root_mean_squared_error 0.174148 root_mean_squared_error 0.218944 root_mean_squared_error 0.220306 root_mean_squared_error 0.221494 root_mean_squared_error 0.164779 root_mean_squared_error 0.260771 root_mean_squared_error 0.178137 root_mean_squared_error 0.285401 root_mean_squared_error 0.056779 root_mean_squared_error 0.276108 root_mean_squared_error 0.237102 root_mean_squared_error 0.211658 root_mean_squared_error 0.287679 root_mean_squared_error 0.183913 root_mean_squared_error 0.261369 root_mean_squared_error 0.240089 root_mean_squared_error 0.194128 root_mean_squared_error 0.197343 root_mean_squared_error 0.240034 root_mean_squared_error 0.208695 root_mean_squared_error 0.153097 root_mean_squared_error 0.200365 root_mean_squared_error 0.204242 root_mean_squared_error 0.196161 root_mean_squared_error 0.194993 root_mean_squared_error 0.185643 root_mean_squared_error 0.269114 root_mean_squared_error 0.200552 root_mean_squared_error 0.170772 root_mean_squared_error 0.18056 root_mean_squared_error 0.252131 root_mean_squared_error 0.22619 root_mean_squared_error 0.188765 root_mean_squared_error 0.212664 root_mean_squared_error 0.148155 root_mean_squared_error 0.157842 root_relative_squared_error 0.46906 root_relative_squared_error 0.413847 root_relative_squared_error 0.777597 root_relative_squared_error 0.473804 root_relative_squared_error 0.561325 root_relative_squared_error 0.420192 root_relative_squared_error 0.642711 root_relative_squared_error 0.692252 root_relative_squared_error 0.436364 root_relative_squared_error 0.808575 root_relative_squared_error 0.614861 root_relative_squared_error 0.696722 root_relative_squared_error 0.631285 root_relative_squared_error 0.558479 root_relative_squared_error 0.788054 root_relative_squared_error 0.668848 root_relative_squared_error 0.768447 root_relative_squared_error 0.498478 root_relative_squared_error 0.648039 root_relative_squared_error 0.656405 root_relative_squared_error 0.576818 root_relative_squared_error 0.616537 root_relative_squared_error 0.458976 root_relative_squared_error 0.54726 root_relative_squared_error 0.706697 root_relative_squared_error 0.662726 root_relative_squared_error 0.69878 root_relative_squared_error 0.572979 root_relative_squared_error 0.075947 root_relative_squared_error 0.600432 root_relative_squared_error 0.643718 root_relative_squared_error 0.782957 root_relative_squared_error 0.557741 root_relative_squared_error 0.490149 root_relative_squared_error 0.725999 root_relative_squared_error 0.778935 root_relative_squared_error 0.633341 root_relative_squared_error 0.726513 root_relative_squared_error 0.905238 root_relative_squared_error 0.295835 root_relative_squared_error 0.735879 root_relative_squared_error 0.53925 root_relative_squared_error 0.657344 root_relative_squared_error 0.363316 root_relative_squared_error 0.670706 root_relative_squared_error 0.596931 root_relative_squared_error 0.542613 root_relative_squared_error 0.649152 root_relative_squared_error 0.552841 root_relative_squared_error 0.681023 root_relative_squared_error 0.413766 root_relative_squared_error 0.373922 root_relative_squared_error 0.779019 root_relative_squared_error 0.892611 root_relative_squared_error 0.362333 root_relative_squared_error 0.579704 root_relative_squared_error 0.484462 root_relative_squared_error 0.434343 root_relative_squared_error 0.813863 root_relative_squared_error 0.65109 root_relative_squared_error 0.76188 root_relative_squared_error 0.582794 root_relative_squared_error 0.433196 root_relative_squared_error 0.730169 root_relative_squared_error 0.527914 root_relative_squared_error 0.663707 root_relative_squared_error 0.667836 root_relative_squared_error 0.671437 root_relative_squared_error 0.499511 root_relative_squared_error 0.779711 root_relative_squared_error 0.534245 root_relative_squared_error 0.865164 root_relative_squared_error 0.170286 root_relative_squared_error 0.844079 root_relative_squared_error 0.715875 root_relative_squared_error 0.63478 root_relative_squared_error 0.87207 root_relative_squared_error 0.555284 root_relative_squared_error 0.792313 root_relative_squared_error 0.717872 root_relative_squared_error 0.582203 root_relative_squared_error 0.597303 root_relative_squared_error 0.724727 root_relative_squared_error 0.633619 root_relative_squared_error 0.462241 root_relative_squared_error 0.60091 root_relative_squared_error 0.619139 root_relative_squared_error 0.591357 root_relative_squared_error 0.590188 root_relative_squared_error 0.562757 root_relative_squared_error 0.804658 root_relative_squared_error 0.607015 root_relative_squared_error 0.515609 root_relative_squared_error 0.548199 root_relative_squared_error 0.761253 root_relative_squared_error 0.682928 root_relative_squared_error 0.572221 root_relative_squared_error 0.641108 root_relative_squared_error 0.448424 root_relative_squared_error 0.478483 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 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