286394 2 Joaquin Vanschoren 4382 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_3.7.12 812 fri_c1_100_25 https://www.openml.org/data/download/53346/fri_c1_100_25.arff -1 964412 description https://api.openml.org/data/download/964412/weka_generated_run4868858007318550062.xml -1 964415 model_readable https://api.openml.org/data/download/964415/WekaModel_weka.classifiers.trees.ExtraTree4173870795467258957.model -1 964414 model_serialized https://api.openml.org/data/download/964414/WekaSerialized_weka.classifiers.trees.ExtraTree667117921722824896.model -1 964413 predictions https://api.openml.org/data/download/964413/weka_generated_predictions7844090310960994158.arff area_under_roc_curve 0.60831 [0.60831,0.60831] average_cost 0 f_measure 0.610541 [0.569845,0.64663] kappa 0.217616 kb_relative_information_score 220.011795 mean_absolute_error 0.388 mean_prior_absolute_error 0.498235 number_of_instances 1000 [470,530] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.610856 [0.594907,0.625] predictive_accuracy 0.612 prior_entropy 0.997503 recall 0.612 [0.546809,0.669811] relative_absolute_error 0.778749 root_mean_prior_squared_error 0.4991 root_mean_squared_error 0.622896 root_relative_squared_error 1.248041 scimark_benchmark 1345.842015 [812.0300923888153, 945.5128225888903, 526.3440412149175, 1112.193413169667, 3333.1297031675517] total_cost 0 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 area_under_roc_curve 0.416667 [0.416667,0.416667] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.333333 [0.333333,0.333333] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.4 [0.4,0.4] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.416667 [0.416667,0.416667] area_under_roc_curve 0.4 [0.4,0.4] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.541667 [0.541667,0.541667] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.4 [0.4,0.4] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.4 [0.4,0.4] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.3 [0.3,0.3] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.458333 [0.458333,0.458333] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.4 [0.4,0.4] area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.583333 [0.583333,0.583333] area_under_roc_curve 0.4 [0.4,0.4] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.416667 [0.416667,0.416667] area_under_roc_curve 0.333333 [0.333333,0.333333] area_under_roc_curve 0.333333 [0.333333,0.333333] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.375 [0.375,0.375] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.3 [0.3,0.3] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.5 [0.5,0.5] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.4 [0.4,0.4] f_measure 0.494949 [0.444444,0.545455] f_measure 0.69697 [0.666667,0.727273] f_measure 0.6 [0.6,0.6] f_measure 0.70303 [0.666667,0.727273] f_measure 0.89899 [0.888889,0.909091] f_measure 0.494949 [0.444444,0.545455] f_measure 0.342857 [0,0.571429] f_measure 0.494949 [0.444444,0.545455] f_measure 0.791667 [0.75,0.833333] f_measure 0.70303 [0.666667,0.727273] f_measure 0.6 [0.6,0.6] f_measure 0.52381 [0.333333,0.714286] f_measure 0.375 [0.25,0.5] f_measure 0.69011 [0.571429,0.769231] f_measure 0.69697 [0.727273,0.666667] f_measure 0.494949 [0.444444,0.545455] f_measure 0.4 [0.4,0.4] f_measure 0.375 [0.25,0.5] f_measure 0.791667 [0.75,0.833333] f_measure 0.561905 [0.333333,0.714286] f_measure 0.494949 [0.444444,0.545455] f_measure 0.8 [0.8,0.8] f_measure 0.6 [0.6,0.6] f_measure 0.4 [0.25,0.5] f_measure 0.583333 [0.5,0.666667] f_measure 0.69697 [0.666667,0.727273] f_measure 0.70303 [0.666667,0.727273] f_measure 0.89899 [0.909091,0.888889] f_measure 0.67033 [0.571429,0.769231] f_measure 0.285714 [0,0.571429] f_measure 0.583333 [0.5,0.666667] f_measure 0.494949 [0.444444,0.545455] f_measure 0.791667 [0.833333,0.75] f_measure 0.67033 [0.571429,0.769231] f_measure 0.6 [0.6,0.6] f_measure 0.69697 [0.666667,0.727273] f_measure 0.67033 [0.571429,0.769231] f_measure 0.89899 [0.888889,0.909091] f_measure 0.791667 [0.833333,0.75] f_measure 0.375 [0.25,0.5] f_measure 0.450549 [0.615385,0.285714] f_measure 0.6 [0.6,0.6] f_measure 0.791667 [0.75,0.833333] f_measure 0.791667 [0.833333,0.75] f_measure 0.494949 [0.444444,0.545455] f_measure 0.450549 [0.285714,0.615385] f_measure 0.583333 [0.5,0.666667] f_measure 0.791667 [0.75,0.833333] f_measure 0.583333 [0.5,0.666667] f_measure 0.89899 [0.888889,0.909091] f_measure 0.494949 [0.545455,0.444444] f_measure 0.583333 [0.666667,0.5] f_measure 0.791667 [0.75,0.833333] f_measure 0.69697 [0.666667,0.727273] f_measure 0.450549 [0.285714,0.615385] f_measure 0.494949 [0.444444,0.545455] f_measure 0.69697 [0.666667,0.727273] f_measure 0.583333 [0.5,0.666667] f_measure 0.6 [0.6,0.6] f_measure 0.791667 [0.75,0.833333] f_measure 0.230769 [0,0.461538] f_measure 0.6 [0.6,0.6] f_measure 0.583333 [0.666667,0.5] f_measure 0.89899 [0.909091,0.888889] f_measure 0.69697 [0.666667,0.727273] f_measure 0.583333 [0.666667,0.5] f_measure 0.69697 [0.666667,0.727273] f_measure 0.69697 [0.727273,0.666667] f_measure 0.6 [0.6,0.6] f_measure 0.69697 [0.727273,0.666667] f_measure 0.483516 [0.285714,0.615385] f_measure 0.4 [0.25,0.5] f_measure 0.896703 [0.857143,0.923077] f_measure 0.4 [0.4,0.4] f_measure 0.70303 [0.666667,0.727273] f_measure 0.6 [0.5,0.666667] f_measure 0.285714 [0,0.571429] f_measure 0.505051 [0.444444,0.545455] f_measure 0.4 [0.25,0.5] f_measure 0.583333 [0.5,0.666667] f_measure 0.4 [0.4,0.4] f_measure 0.342857 [0,0.571429] f_measure 0.278788 [0.363636,0.222222] f_measure 0.6 [0.6,0.6] f_measure 0.4 [0.25,0.5] f_measure 0.690909 [0.727273,0.666667] f_measure 0.583333 [0.666667,0.5] f_measure 0.8 [0.75,0.833333] f_measure 0.70303 [0.666667,0.727273] f_measure 0.292929 [0.363636,0.222222] f_measure 0.505051 [0.444444,0.545455] f_measure 0.690909 [0.727273,0.666667] f_measure 0.69011 [0.571429,0.769231] f_measure 0.494949 [0.444444,0.545455] f_measure 0.6 [0.6,0.6] f_measure 1 [1,1] f_measure 0.583333 [0.666667,0.5] f_measure 0.8 [0.75,0.833333] f_measure 0.505051 [0.444444,0.545455] kappa -0.153846 kappa 0 kappa 0.4 kappa 0.2 kappa 0.4 kappa 0.8 kappa 0 kappa -0.363636 kappa 0 kappa 0.6 kappa 0.4 kappa 0.2 kappa 0.2 kappa -0.2 kappa 0.347826 kappa 0.4 kappa 0 kappa -0.153846 kappa -0.2 kappa 0.6 kappa 0.090909 kappa 0 kappa 0.6 kappa 0.2 kappa -0.25 kappa 0.2 kappa 0.4 kappa 0.4 kappa 0.8 kappa 0.4 kappa -0.2 kappa 0.2 kappa 0 kappa 0.6 kappa 0.4 kappa 0.2 kappa 0.4 kappa 0.4 kappa 0.8 kappa 0.6 kappa -0.2 kappa 0 kappa 0.2 kappa 0.6 kappa 0.6 kappa 0 kappa 0 kappa 0.2 kappa 0.6 kappa 0.2 kappa 0.8 kappa 0 kappa 0.2 kappa 0.6 kappa 0.4 kappa 0 kappa 0 kappa 0.4 kappa 0.2 kappa 0.2 kappa 0.6 kappa -0.4 kappa 0.2 kappa 0.2 kappa 0.8 kappa 0.4 kappa 0.2 kappa 0.4 kappa 0.4 kappa 0.2 kappa 0.4 kappa -0.086957 kappa -0.25 kappa 0.782609 kappa -0.2 kappa 0.4 kappa 0.166667 kappa -0.2 kappa 0 kappa -0.25 kappa 0.2 kappa -0.153846 kappa -0.363636 kappa -0.296296 kappa 0.2 kappa -0.25 kappa 0.444444 kappa 0.2 kappa 0.583333 kappa 0.4 kappa -0.4 kappa 0 kappa 0.444444 kappa 0.347826 kappa 0 kappa 0.230769 kappa 1 kappa 0.2 kappa 0.583333 kappa 0 kb_relative_information_score -2.180371 kb_relative_information_score 0 kb_relative_information_score 4.020041 kb_relative_information_score 2.010021 kb_relative_information_score 3.849691 kb_relative_information_score 8.040082 kb_relative_information_score 0 kb_relative_information_score -2.180371 kb_relative_information_score 0 kb_relative_information_score 6.030062 kb_relative_information_score 3.849691 kb_relative_information_score 2.010021 kb_relative_information_score 2.010021 kb_relative_information_score -2.010021 kb_relative_information_score 3.849691 kb_relative_information_score 4.020041 kb_relative_information_score 0 kb_relative_information_score -2.180371 kb_relative_information_score -2.010021 kb_relative_information_score 6.030062 kb_relative_information_score 1.83967 kb_relative_information_score 0 kb_relative_information_score 6.030062 kb_relative_information_score 2.010021 kb_relative_information_score -2.180371 kb_relative_information_score 2.010021 kb_relative_information_score 4.020041 kb_relative_information_score 3.849691 kb_relative_information_score 8.040082 kb_relative_information_score 4.020041 kb_relative_information_score -2.010021 kb_relative_information_score 2.010021 kb_relative_information_score 0 kb_relative_information_score 6.030062 kb_relative_information_score 4.020041 kb_relative_information_score 2.010021 kb_relative_information_score 4.020041 kb_relative_information_score 4.020041 kb_relative_information_score 8.040082 kb_relative_information_score 6.030062 kb_relative_information_score -2.010021 kb_relative_information_score 0 kb_relative_information_score 2.010021 kb_relative_information_score 6.030062 kb_relative_information_score 6.030062 kb_relative_information_score 0 kb_relative_information_score 0 kb_relative_information_score 2.010021 kb_relative_information_score 6.030062 kb_relative_information_score 2.010021 kb_relative_information_score 8.040082 kb_relative_information_score 0 kb_relative_information_score 2.010021 kb_relative_information_score 6.030062 kb_relative_information_score 4.020041 kb_relative_information_score 0 kb_relative_information_score 0 kb_relative_information_score 4.020041 kb_relative_information_score 2.010021 kb_relative_information_score 2.010021 kb_relative_information_score 6.030062 kb_relative_information_score -4.020041 kb_relative_information_score 2.010021 kb_relative_information_score 2.010021 kb_relative_information_score 8.040082 kb_relative_information_score 4.020041 kb_relative_information_score 2.010021 kb_relative_information_score 4.020041 kb_relative_information_score 4.020041 kb_relative_information_score 2.010021 kb_relative_information_score 4.020041 kb_relative_information_score -0.17035 kb_relative_information_score -2.180371 kb_relative_information_score 7.869732 kb_relative_information_score -2.010021 kb_relative_information_score 3.849691 kb_relative_information_score 1.83967 kb_relative_information_score -2.010021 kb_relative_information_score -0.17035 kb_relative_information_score -2.180371 kb_relative_information_score 2.010021 kb_relative_information_score -2.180371 kb_relative_information_score -2.180371 kb_relative_information_score -4.190392 kb_relative_information_score 2.010021 kb_relative_information_score -2.180371 kb_relative_information_score 3.849691 kb_relative_information_score 2.010021 kb_relative_information_score 5.859711 kb_relative_information_score 3.849691 kb_relative_information_score -4.020041 kb_relative_information_score -0.17035 kb_relative_information_score 3.849691 kb_relative_information_score 3.849691 kb_relative_information_score 0 kb_relative_information_score 1.83967 kb_relative_information_score 9.879753 kb_relative_information_score 2.010021 kb_relative_information_score 5.859711 kb_relative_information_score -0.17035 mean_absolute_error 0.6 mean_absolute_error 0.5 mean_absolute_error 0.3 mean_absolute_error 0.4 mean_absolute_error 0.3 mean_absolute_error 0.1 mean_absolute_error 0.5 mean_absolute_error 0.6 mean_absolute_error 0.5 mean_absolute_error 0.2 mean_absolute_error 0.3 mean_absolute_error 0.4 mean_absolute_error 0.4 mean_absolute_error 0.6 mean_absolute_error 0.3 mean_absolute_error 0.3 mean_absolute_error 0.5 mean_absolute_error 0.6 mean_absolute_error 0.6 mean_absolute_error 0.2 mean_absolute_error 0.4 mean_absolute_error 0.5 mean_absolute_error 0.2 mean_absolute_error 0.4 mean_absolute_error 0.6 mean_absolute_error 0.4 mean_absolute_error 0.3 mean_absolute_error 0.3 mean_absolute_error 0.1 mean_absolute_error 0.3 mean_absolute_error 0.6 mean_absolute_error 0.4 mean_absolute_error 0.5 mean_absolute_error 0.2 mean_absolute_error 0.3 mean_absolute_error 0.4 mean_absolute_error 0.3 mean_absolute_error 0.3 mean_absolute_error 0.1 mean_absolute_error 0.2 mean_absolute_error 0.6 mean_absolute_error 0.5 mean_absolute_error 0.4 mean_absolute_error 0.2 mean_absolute_error 0.2 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_absolute_error 0.4 mean_absolute_error 0.2 mean_absolute_error 0.4 mean_absolute_error 0.1 mean_absolute_error 0.5 mean_absolute_error 0.4 mean_absolute_error 0.2 mean_absolute_error 0.3 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_absolute_error 0.3 mean_absolute_error 0.4 mean_absolute_error 0.4 mean_absolute_error 0.2 mean_absolute_error 0.7 mean_absolute_error 0.4 mean_absolute_error 0.4 mean_absolute_error 0.1 mean_absolute_error 0.3 mean_absolute_error 0.4 mean_absolute_error 0.3 mean_absolute_error 0.3 mean_absolute_error 0.4 mean_absolute_error 0.3 mean_absolute_error 0.5 mean_absolute_error 0.6 mean_absolute_error 0.1 mean_absolute_error 0.6 mean_absolute_error 0.3 mean_absolute_error 0.4 mean_absolute_error 0.6 mean_absolute_error 0.5 mean_absolute_error 0.6 mean_absolute_error 0.4 mean_absolute_error 0.6 mean_absolute_error 0.6 mean_absolute_error 0.7 mean_absolute_error 0.4 mean_absolute_error 0.6 mean_absolute_error 0.3 mean_absolute_error 0.4 mean_absolute_error 0.2 mean_absolute_error 0.3 mean_absolute_error 0.7 mean_absolute_error 0.5 mean_absolute_error 0.3 mean_absolute_error 0.3 mean_absolute_error 0.5 mean_absolute_error 0.4 mean_absolute_error 0 mean_absolute_error 0.4 mean_absolute_error 0.2 mean_absolute_error 0.5 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.494118 mean_prior_absolute_error 0.494118 number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] number_of_instances 10 [5,5] number_of_instances 10 [4,6] number_of_instances 10 [4,6] precision 0.433333 [0.333333,0.5] precision 0.5 [0.5,0.5] precision 0.708333 [0.75,0.666667] precision 0.6 [0.6,0.6] precision 0.72 [0.6,0.8] precision 0.916667 [1,0.833333] precision 0.5 [0.5,0.5] precision 0.3 [0,0.5] precision 0.5 [0.5,0.5] precision 0.857143 [1,0.714286] precision 0.72 [0.6,0.8] precision 0.6 [0.6,0.6] precision 0.777778 [1,0.555556] precision 0.380952 [0.333333,0.428571] precision 0.695238 [0.666667,0.714286] precision 0.708333 [0.666667,0.75] precision 0.5 [0.5,0.5] precision 0.433333 [0.333333,0.5] precision 0.380952 [0.333333,0.428571] precision 0.857143 [1,0.714286] precision 0.575 [0.5,0.625] precision 0.5 [0.5,0.5] precision 0.8 [0.8,0.8] precision 0.6 [0.6,0.6] precision 0.4 [0.25,0.5] precision 0.619048 [0.666667,0.571429] precision 0.708333 [0.75,0.666667] precision 0.72 [0.6,0.8] precision 0.916667 [0.833333,1] precision 0.8125 [1,0.625] precision 0.222222 [0,0.444444] precision 0.619048 [0.666667,0.571429] precision 0.5 [0.5,0.5] precision 0.857143 [0.714286,1] precision 0.8125 [1,0.625] precision 0.6 [0.6,0.6] precision 0.708333 [0.75,0.666667] precision 0.8125 [1,0.625] precision 0.916667 [1,0.833333] precision 0.857143 [0.714286,1] precision 0.380952 [0.333333,0.428571] precision 0.5 [0.5,0.5] precision 0.6 [0.6,0.6] precision 0.857143 [1,0.714286] precision 0.857143 [0.714286,1] precision 0.5 [0.5,0.5] precision 0.5 [0.5,0.5] precision 0.619048 [0.666667,0.571429] precision 0.857143 [1,0.714286] precision 0.619048 [0.666667,0.571429] precision 0.916667 [1,0.833333] precision 0.5 [0.5,0.5] precision 0.619048 [0.571429,0.666667] precision 0.857143 [1,0.714286] precision 0.708333 [0.75,0.666667] precision 0.5 [0.5,0.5] precision 0.5 [0.5,0.5] precision 0.708333 [0.75,0.666667] precision 0.619048 [0.666667,0.571429] precision 0.6 [0.6,0.6] precision 0.857143 [1,0.714286] precision 0.1875 [0,0.375] precision 0.6 [0.6,0.6] precision 0.619048 [0.571429,0.666667] precision 0.916667 [0.833333,1] precision 0.708333 [0.75,0.666667] precision 0.619048 [0.571429,0.666667] precision 0.708333 [0.75,0.666667] precision 0.708333 [0.666667,0.75] precision 0.6 [0.6,0.6] precision 0.708333 [0.666667,0.75] precision 0.47619 [0.333333,0.571429] precision 0.4 [0.25,0.5] precision 0.914286 [1,0.857143] precision 0.4 [0.4,0.4] precision 0.72 [0.6,0.8] precision 0.6 [0.5,0.666667] precision 0.222222 [0,0.444444] precision 0.52 [0.4,0.6] precision 0.4 [0.25,0.5] precision 0.619048 [0.666667,0.571429] precision 0.433333 [0.333333,0.5] precision 0.3 [0,0.5] precision 0.314286 [0.285714,0.333333] precision 0.6 [0.6,0.6] precision 0.4 [0.25,0.5] precision 0.828571 [0.571429,1] precision 0.619048 [0.571429,0.666667] precision 0.8 [0.75,0.833333] precision 0.72 [0.6,0.8] precision 0.291667 [0.333333,0.25] precision 0.52 [0.4,0.6] precision 0.828571 [0.571429,1] precision 0.695238 [0.666667,0.714286] precision 0.5 [0.5,0.5] precision 0.65 [0.5,0.75] precision 1 [1,1] precision 0.619048 [0.571429,0.666667] precision 0.8 [0.75,0.833333] precision 0.52 [0.4,0.6] predictive_accuracy 0.4 predictive_accuracy 0.5 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.5 predictive_accuracy 0.4 predictive_accuracy 0.5 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.5 predictive_accuracy 0.4 predictive_accuracy 0.4 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.4 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.9 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.3 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.9 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.5 predictive_accuracy 0.4 predictive_accuracy 0.9 predictive_accuracy 0.4 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.5 predictive_accuracy 0.4 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.4 predictive_accuracy 0.3 predictive_accuracy 0.6 predictive_accuracy 0.4 predictive_accuracy 0.7 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.3 predictive_accuracy 0.5 predictive_accuracy 0.7 predictive_accuracy 0.7 predictive_accuracy 0.5 predictive_accuracy 0.6 predictive_accuracy 1 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.5 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 prior_entropy 0.997503 recall 0.4 [0.5,0.333333] recall 0.5 [0.4,0.6] recall 0.7 [0.6,0.8] recall 0.6 [0.6,0.6] recall 0.7 [0.75,0.666667] recall 0.9 [0.8,1] recall 0.5 [0.4,0.6] recall 0.4 [0,0.666667] recall 0.5 [0.4,0.6] recall 0.8 [0.6,1] recall 0.7 [0.75,0.666667] recall 0.6 [0.6,0.6] recall 0.6 [0.2,1] recall 0.4 [0.2,0.6] recall 0.7 [0.5,0.833333] recall 0.7 [0.8,0.6] recall 0.5 [0.4,0.6] recall 0.4 [0.5,0.333333] recall 0.4 [0.2,0.6] recall 0.8 [0.6,1] recall 0.6 [0.25,0.833333] recall 0.5 [0.4,0.6] recall 0.8 [0.8,0.8] recall 0.6 [0.6,0.6] recall 0.4 [0.25,0.5] recall 0.6 [0.4,0.8] recall 0.7 [0.6,0.8] recall 0.7 [0.75,0.666667] recall 0.9 [1,0.8] recall 0.7 [0.4,1] recall 0.4 [0,0.8] recall 0.6 [0.4,0.8] recall 0.5 [0.4,0.6] recall 0.8 [1,0.6] recall 0.7 [0.4,1] recall 0.6 [0.6,0.6] recall 0.7 [0.6,0.8] recall 0.7 [0.4,1] recall 0.9 [0.8,1] recall 0.8 [1,0.6] recall 0.4 [0.2,0.6] recall 0.5 [0.8,0.2] recall 0.6 [0.6,0.6] recall 0.8 [0.6,1] recall 0.8 [1,0.6] recall 0.5 [0.4,0.6] recall 0.5 [0.2,0.8] recall 0.6 [0.4,0.8] recall 0.8 [0.6,1] recall 0.6 [0.4,0.8] recall 0.9 [0.8,1] recall 0.5 [0.6,0.4] recall 0.6 [0.8,0.4] recall 0.8 [0.6,1] recall 0.7 [0.6,0.8] recall 0.5 [0.2,0.8] recall 0.5 [0.4,0.6] recall 0.7 [0.6,0.8] recall 0.6 [0.4,0.8] recall 0.6 [0.6,0.6] recall 0.8 [0.6,1] recall 0.3 [0,0.6] recall 0.6 [0.6,0.6] recall 0.6 [0.8,0.4] recall 0.9 [1,0.8] recall 0.7 [0.6,0.8] recall 0.6 [0.8,0.4] recall 0.7 [0.6,0.8] recall 0.7 [0.8,0.6] recall 0.6 [0.6,0.6] recall 0.7 [0.8,0.6] recall 0.5 [0.25,0.666667] recall 0.4 [0.25,0.5] recall 0.9 [0.75,1] recall 0.4 [0.4,0.4] recall 0.7 [0.75,0.666667] recall 0.6 [0.5,0.666667] recall 0.4 [0,0.8] recall 0.5 [0.5,0.5] recall 0.4 [0.25,0.5] recall 0.6 [0.4,0.8] recall 0.4 [0.5,0.333333] recall 0.4 [0,0.666667] recall 0.3 [0.5,0.166667] recall 0.6 [0.6,0.6] recall 0.4 [0.25,0.5] recall 0.7 [1,0.5] recall 0.6 [0.8,0.4] recall 0.8 [0.75,0.833333] recall 0.7 [0.75,0.666667] recall 0.3 [0.4,0.2] recall 0.5 [0.5,0.5] recall 0.7 [1,0.5] recall 0.7 [0.5,0.833333] recall 0.5 [0.4,0.6] recall 0.6 [0.75,0.5] recall 1 [1,1] recall 0.6 [0.8,0.4] recall 0.8 [0.75,0.833333] recall 0.5 [0.5,0.5] relative_absolute_error 1.214286 relative_absolute_error 1 relative_absolute_error 0.6 relative_absolute_error 0.8 relative_absolute_error 0.607143 relative_absolute_error 0.2 relative_absolute_error 1 relative_absolute_error 1.214286 relative_absolute_error 1 relative_absolute_error 0.4 relative_absolute_error 0.607143 relative_absolute_error 0.8 relative_absolute_error 0.8 relative_absolute_error 1.2 relative_absolute_error 0.607143 relative_absolute_error 0.6 relative_absolute_error 1 relative_absolute_error 1.214286 relative_absolute_error 1.2 relative_absolute_error 0.4 relative_absolute_error 0.809524 relative_absolute_error 1 relative_absolute_error 0.4 relative_absolute_error 0.8 relative_absolute_error 1.214286 relative_absolute_error 0.8 relative_absolute_error 0.6 relative_absolute_error 0.607143 relative_absolute_error 0.2 relative_absolute_error 0.6 relative_absolute_error 1.2 relative_absolute_error 0.8 relative_absolute_error 1 relative_absolute_error 0.4 relative_absolute_error 0.6 relative_absolute_error 0.8 relative_absolute_error 0.6 relative_absolute_error 0.6 relative_absolute_error 0.2 relative_absolute_error 0.4 relative_absolute_error 1.2 relative_absolute_error 1 relative_absolute_error 0.8 relative_absolute_error 0.4 relative_absolute_error 0.4 relative_absolute_error 1 relative_absolute_error 1 relative_absolute_error 0.8 relative_absolute_error 0.4 relative_absolute_error 0.8 relative_absolute_error 0.2 relative_absolute_error 1 relative_absolute_error 0.8 relative_absolute_error 0.4 relative_absolute_error 0.6 relative_absolute_error 1 relative_absolute_error 1 relative_absolute_error 0.6 relative_absolute_error 0.8 relative_absolute_error 0.8 relative_absolute_error 0.4 relative_absolute_error 1.4 relative_absolute_error 0.8 relative_absolute_error 0.8 relative_absolute_error 0.2 relative_absolute_error 0.6 relative_absolute_error 0.8 relative_absolute_error 0.6 relative_absolute_error 0.6 relative_absolute_error 0.8 relative_absolute_error 0.6 relative_absolute_error 1.011905 relative_absolute_error 1.214286 relative_absolute_error 0.202381 relative_absolute_error 1.2 relative_absolute_error 0.607143 relative_absolute_error 0.809524 relative_absolute_error 1.2 relative_absolute_error 1.011905 relative_absolute_error 1.214286 relative_absolute_error 0.8 relative_absolute_error 1.214286 relative_absolute_error 1.214286 relative_absolute_error 1.416667 relative_absolute_error 0.8 relative_absolute_error 1.214286 relative_absolute_error 0.607143 relative_absolute_error 0.8 relative_absolute_error 0.404762 relative_absolute_error 0.607143 relative_absolute_error 1.4 relative_absolute_error 1.011905 relative_absolute_error 0.607143 relative_absolute_error 0.607143 relative_absolute_error 1 relative_absolute_error 0.809524 relative_absolute_error 0 relative_absolute_error 0.8 relative_absolute_error 0.404762 relative_absolute_error 1.011905 root_mean_prior_squared_error 0.494957 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.494957 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.494957 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.494957 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.494957 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.494957 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.494957 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.494957 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.494957 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 root_mean_prior_squared_error 0.500864 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