330163 2 Joaquin Vanschoren 1887 Supervised Classification predictive_accuracy 1244 weka.FilteredClassifier_Discretize_J48(4) 2166 weka.classifiers.meta.FilteredClassifier -- -F "weka.filters.supervised.attribute.Discretize -R first-last -precision 6" -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 C 0.25 1068 M 2 1068 F weka.filters.supervised.attribute.Discretize 1244 W weka.classifiers.trees.J48 1244 R first-last 1245 precision 6 1245 weka weka_3.7.12 7 audiology https://www.openml.org/data/download/7/dataset_7_audiology.arff -1 1128971 description https://api.openml.org/data/download/1128971/weka_generated_run5437375318336511492.xml -1 1128974 model_readable https://api.openml.org/data/download/1128974/WekaModel_weka.classifiers.meta.FilteredClassifier5138066690644775256.model -1 1128973 model_serialized https://api.openml.org/data/download/1128973/WekaSerialized_weka.classifiers.meta.FilteredClassifier4325666281990406597.model -1 1128972 predictions https://api.openml.org/data/download/1128972/weka_generated_predictions6985176637830053692.arff area_under_roc_curve 0.927176 [0.448222,0.447556,0.98169,0.943383,0.386667,0.942779,0.971755,0.923139,0.991083,1,0.920748,0.871503,0.869196,0.991083,0.999278,0.999477,0.492,0.99192,0.872584,0.711019,0.469778,0.99558,0.867457,0.493304] average_cost 0 f_measure 0.754786 [0,0,0.939948,0.852321,0,0,0.774892,0.759239,0.04878,1,0.125,0.707317,0,0,0.962567,0.698795,0,0.097561,0.735354,0,0,0.879121,0.810811,0] kappa 0.73975 kb_relative_information_score 1586.687018 mean_absolute_error 0.022361 mean_prior_absolute_error 0.072392 number_of_instances 2260 [10,10,570,220,10,20,200,480,20,60,20,40,20,20,90,30,10,20,220,40,10,40,80,20] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.742696 [0,0,0.932642,0.795276,0,0,0.683206,0.820823,0.047619,1,0.166667,0.690476,0,0,0.927835,0.54717,0,0.095238,0.661818,0,0,0.784314,0.882353,0] predictive_accuracy 0.776549 prior_entropy 3.634907 recall 0.776549 [0,0,0.947368,0.918182,0,0,0.895,0.70625,0.05,1,0.1,0.725,0,0,1,0.966667,0,0.1,0.827273,0,0,1,0.75,0] relative_absolute_error 0.308881 root_mean_prior_squared_error 0.189308 root_mean_squared_error 0.121116 root_relative_squared_error 0.639784 scimark_benchmark 1344.049935 [813.5450543619434, 1018.475184352184, 548.6672532353103, 1086.8324233586136, 3252.729760685165] total_cost 0 usercpu_time_millis 10 usercpu_time_millis_testing 10 usercpu_time_millis_training 0 area_under_roc_curve 0.958639 [0.0,0.0,1,1,0.0,1,1,0.933333,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,1,0.952381,0.477273,0.0,0.0,1,0.0] area_under_roc_curve 0.937556 [0.0,0.0,0.970588,1,0.0,0.0,1,0.966667,1,1,0.0,0.0,1,0.0,1,0.0,0.0,0.0,0.97619,0.5,0.0,0.0,0.454545,0.0] area_under_roc_curve 0.890022 [0.5,0.0,0.955882,0.97619,0.0,0.0,1,0.927778,0.0,0.0,0.0,0.5,0.0,0.0,1,0.0,0.0,1,0.833333,0.477273,0.0,1,0.0,0.0] area_under_roc_curve 0.949245 [0.0,0.0,1,1,0.0,0.0,0.97619,0.901316,0.0,1,1,0.0,0.0,0.0,1,1,0.0,0.0,0.758333,0.0,0.0,1,1,0.0] area_under_roc_curve 0.914973 [0.0,0.0,1,0.738095,0.0,0.0,1,0.95,0.0,1,0.954545,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.431818,0.0,0.0,1,0.431818] area_under_roc_curve 0.961197 [0.0,0.0,1,0.975,0.0,0.0,1,0.955556,0.0,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.952381,0.0,0.0,1,0.5,0.0] area_under_roc_curve 0.988268 [0.0,0.0,1,1,0.0,0.0,0.97619,0.955556,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.955813 [0.0,0.0,1,1,0.0,0.0,0.952381,0.894737,0.0,1,0.0,0.5,0.0,1,1,1,0.0,0.0,1,0.0,0.0,1,0.0,0.0] area_under_roc_curve 0.961697 [0.0,0.0,0.990196,0.97619,0.0,0.0,1,0.977778,1,1,1,0.0,0.431818,0.0,1,0.0,0.0,0.0,0.952381,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.986197 [0.0,0.0,1,1,0.0,0.0,1,0.955556,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,0.952381,0.0,0.0,1,1,0.0] area_under_roc_curve 0.923995 [0.0,0.0,0.955882,0.97619,0.0,0.954545,0.97619,0.977778,0.0,0.0,0.954545,0.0,1,0.0,1,0.0,0.0,0.0,0.952381,0.477273,0.0,0.0,0.431818,0.0] area_under_roc_curve 0.904257 [0.0,0.0,0.970588,0.75,0.0,0.0,0.97619,0.927778,1,1,0.0,0.0,0.0,0.0,1,0.0,0.0,1,0.714286,0.0,0.0,0.0,1,0.454545] area_under_roc_curve 0.923882 [0.0,0.0,1,1,0.0,0.0,0.952381,0.911111,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0,1,0.678571,0.0,0.0,1,0.0,0.431818] area_under_roc_curve 0.943939 [0.0,0.0,0.988889,0.8,0.0,0.0,1,0.877778,0.0,1,1,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.977273,1,0.0] area_under_roc_curve 0.929512 [0.0,0.0,0.990196,0.97619,0.0,0.0,0.97619,0.911111,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,1,1,0.477273,0.0,0.0,1,0.5] area_under_roc_curve 0.96554 [0.0,0.0,1,1,0.0,0.0,0.97619,0.955556,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.5,0.977273,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.995953 [0.0,0.0,1,1,0.0,0.954545,0.97619,1,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.912804 [0.5,0.0,1,0.975,0.0,0.0,0.97619,0.960526,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,0.758333,0.0,0.0,0.0,0.5,0.0] area_under_roc_curve 0.932976 [0.0,0.5,0.970588,1,0.0,0.0,1,0.955556,1,0.0,0.0,0.0,1,0.0,1,0.0,0.0,0.0,0.678571,1,0.0,0.0,1,0.0] area_under_roc_curve 0.944272 [0.0,0.0,1,0.97619,0.0,0.0,1,0.972222,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.952381,0.0,0.5,1,0.5,0.0] area_under_roc_curve 0.900245 [0.0,0.0,1,0.97619,0.0,0.0,0.97619,0.883333,0.0,0.0,1,0.0,0.431818,0.0,1,0.0,0.0,0.0,0.97619,1,0.5,0.0,0.5,0.0] area_under_roc_curve 0.933754 [0.0,0.0,0.985294,0.952381,0.0,0.0,0.952381,0.955556,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0,0.0,0.0,0.5,0.477273] area_under_roc_curve 0.914596 [0.0,0.0,1,0.666667,0.0,0.0,0.97619,0.916667,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,1,0.5] area_under_roc_curve 0.915459 [0.5,0.5,1,0.75,0.0,0.0,1,0.911111,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0] area_under_roc_curve 0.896496 [0.0,0.0,1,0.97619,0.0,0.0,0.952381,0.894444,0.0,1,0.0,0.977273,0.431818,0.0,1,1,0.0,1,0.690476,0.0,0.0,0.0,0.5,0.0] area_under_roc_curve 0.973633 [0.0,0.0,0.990196,0.97619,0.0,0.0,1,1,0.0,0.0,0.0,0.5,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.940303 [0.0,0.0,0.990196,0.97619,0.0,0.931818,0.952381,0.922222,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,0.642857,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.938 [0.0,0.5,1,0.75,0.0,0.0,1,0.938889,0.0,1,0.0,0.977273,0.0,0.0,1,0.0,0.0,0.977273,0.975,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.87546 [0.0,0.0,0.970588,1,0.5,0.886364,0.904762,0.861111,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.666667,0.5,0.0,0.977273,1,0.0] area_under_roc_curve 0.934278 [0.0,0.0,0.970588,1,0.0,0.0,0.97619,0.861111,1,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.97619,0.0,0.0,1,0.454545,0.0] area_under_roc_curve 0.938609 [0.5,0.0,0.990196,0.97619,0.0,0.0,0.97619,0.972222,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.690476,0.0,0.0,1,1,0.0] area_under_roc_curve 0.858213 [0.0,0.0,0.970588,1,0.0,0.0,0.952381,0.816667,0.0,0.0,1,1,0.0,0.0,0.0,1,0.5,0.0,0.483333,0.0,0.0,0.977273,0.0,0.0] area_under_roc_curve 0.965666 [0.0,0.0,1,1,0.0,0.0,0.97619,0.861111,1,1,1,0.0,0.0,0.0,1,0.0,0.0,0.0,0.97619,0.0,0.0,1,1,0.0] area_under_roc_curve 0.982496 [0.0,0.0,1,1,0.0,0.954545,0.97619,0.966667,0.0,1,0.0,0.0,1,1,1,0.0,0.0,1,0.928571,0.0,0.0,0.0,0.0,0.0] area_under_roc_curve 0.967956 [0.0,0.0,1,1,0.0,0.0,0.97619,0.966667,1,1,0.0,0.5,0.977273,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0] area_under_roc_curve 1 [0.0,0.0,1,1,0.0,0.0,1,1,1,1,0.0,1,0.0,0.0,1,0.0,0.0,0.0,1,1,0.0,1,1,0.0] area_under_roc_curve 0.941731 [0.0,0.0,1,0.833333,0.0,0.0,1,0.955556,1,0.0,0.0,0.5,0.977273,0.0,1,0.0,0.0,0.0,0.952381,0.0,0.0,1,0.0,0.0] area_under_roc_curve 0.97205 [0.0,0.0,1,1,0.0,1,0.952381,1,0.0,1,0.0,1,0.0,0.0,1,0.0,0.0,1,0.97619,0.0,0.5,0.0,1,0.0] area_under_roc_curve 0.95042 [0.0,0.0,1,1,0.0,0.931818,0.952381,0.927778,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.97619,0.431818,0.0,1,1,0.0] area_under_roc_curve 0.942303 [0.5,0.0,0.995098,0.72619,0.0,0.0,1,0.95,1,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.90145 [0.0,0.0,0.970588,1,0.5,0.0,1,0.838889,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.619048,0.0,0.0,0.977273,1,0.0] area_under_roc_curve 0.966105 [0.0,0.0,1,1,0.0,0.0,1,0.972222,0.0,0.0,0.954545,1,0.0,0.0,1,1,0.0,0.0,0.952381,0.0,0.5,1,0.0,0.0] area_under_roc_curve 0.95571 [0.0,0.0,0.955882,0.97619,0.5,0.0,1,0.977778,1,1,1,0.0,0.0,0.0,1,0.0,0.0,0.0,0.952381,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.908586 [0.0,0.0,0.970588,1,0.0,0.954545,0.97619,0.961111,0.0,1,0.0,0.0,0.454545,0.0,1,0.0,0.0,0.0,0.97619,0.0,0.0,0.0,0.454545,0.5] area_under_roc_curve 0.935049 [0.0,0.0,0.972222,1,0.0,0.0,1,0.966667,0.977273,0.0,0.0,1,0.0,0.977273,1,1,0.5,0.0,0.678571,0.0,0.0,1,0.0,0.0] area_under_roc_curve 0.958102 [0.0,0.0,1,1,0.0,0.0,0.97619,0.907895,1,1,0.0,1,1,0.0,1,0.0,0.0,0.0,0.97619,0.5,0.0,0.0,1,0.0] area_under_roc_curve 0.940108 [0.0,0.0,0.985294,0.975,0.0,0.0,0.97619,0.866667,1,0.0,0.0,0.0,1,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.5] area_under_roc_curve 0.897181 [0.0,0.0,0.941176,1,0.5,0.5,0.928571,0.983333,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.857143,1,0.0,0.0,1,0.5] area_under_roc_curve 0.900811 [0.0,0.0,1,0.808333,0.0,0.0,0.97619,0.877778,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.97619,1,0.5,1,0.5,0.0] area_under_roc_curve 0.889372 [0.0,0.0,0.970588,1,0.5,0.0,1,0.883333,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.619048,1,0.0,0.0,1,0.477273] area_under_roc_curve 0.923835 [0.0,0.0,1,1,0.0,0.0,0.97619,0.877778,0.0,1,0.0,1,0.0,0.0,1,0.0,0.5,0.0,0.97619,0.0,0.0,1,1,0.454545] area_under_roc_curve 0.916149 [0.0,0.0,0.972222,1,0.5,0.0,0.97619,0.861111,0.0,0.0,0.0,0.5,0.0,0.0,1,1,0.0,0.0,0.97619,0.0,0.0,1,1,0.0] area_under_roc_curve 0.906077 [0.0,0.0,0.970588,1,0.0,0.954545,0.97619,0.85,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.952381,0.0,0.5,0.0,0.454545,0.0] area_under_roc_curve 0.898783 [0.0,0.0,0.970588,1,0.0,0.0,0.97619,0.916667,0.0,1,0.0,1,0.0,0.0,1,0.0,0.0,0.0,0.690476,0.0,0.5,0.0,1,0.431818] area_under_roc_curve 0.938728 [0.0,0.0,0.985294,0.975,0.0,0.0,0.97619,0.888889,0.0,0.0,0.0,1,0.0,1,1,0.0,0.0,0.0,0.928571,0.0,0.5,1,0.0,0.0] area_under_roc_curve 0.977979 [0.0,0.0,1,1,0.0,0.931818,0.952381,0.95,0.0,1,0.0,1,0.977273,0.0,1,0.0,0.0,0.0,0.97619,0.977273,0.0,0.0,1,0.0] area_under_roc_curve 0.84803 [0.0,0.0,1,0.75,0.0,0.0,0.97619,0.894444,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.5,0.954545,0.630952,0.454545,0.0,1,0.954545,0.454545] area_under_roc_curve 0.878332 [0.0,0.0,0.990196,0.97619,0.0,0.0,0.97619,0.855556,1,0.0,0.0,0.0,0.977273,0.0,0.0,0.0,0.5,0.0,0.607143,0.931818,0.0,0.0,1,0.454545] area_under_roc_curve 0.96413 [0.5,0.0,0.983333,0.975,0.0,0.0,1,0.966667,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.844026 [0.0,0.0,0.988889,0.808333,0.0,0.0,0.952381,0.872222,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.5,0.0,0.766667,0.477273,0.0,0.0,0.0,0.5] area_under_roc_curve 0.923529 [0.0,0.0,0.970588,1,0.0,0.0,1,0.952941,0.0,1,0.0,0.5,0.0,0.0,1,1,0.0,0.0,0.85,0.0,0.0,1,0.0,0.5] area_under_roc_curve 0.948663 [0.5,0.0,1,1,0.0,0.0,0.975,0.894118,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.0,0.975,0.0,0.0,1,1,0.0] area_under_roc_curve 0.990616 [0.0,0.0,1,1,0.0,0.952381,0.975,0.988235,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.975,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.936614 [0.0,0.0,0.953125,0.975,0.0,0.0,0.975,0.882353,1,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.0,0.7875,1,0.0,0.0,1,0.0] area_under_roc_curve 0.902335 [0.0,0.0,0.9375,0.833333,0.5,0.0,1,0.970588,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.973684,0.0,0.0,1,0.452381,0.0] area_under_roc_curve 0.844961 [0.0,0.0,0.952941,0.975,0.0,1,0.7125,0.929412,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.425,0.452381,0.0,0.0,1,0.5] area_under_roc_curve 0.952247 [0.0,0.0,1,0.975,0.0,0.0,0.975,0.929412,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,0.975,0.952381,0.0,1,0.5,0.0] area_under_roc_curve 0.941577 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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 0.750725 [0,0,1,1,0,0,0.8,0.666667,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] f_measure 0.745151 [0,0,0.923077,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,0.8,0,0,0,0,0] f_measure 0.662451 [0,0,0.833333,0.8,0,0,1,0.727273,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0] f_measure 0.850932 [0,0,1,0.857143,0,0,0.8,0.75,0,1,0,0,0,0,1,1,0,0,0.8,0,0,1,1,0] f_measure 0.791831 [0,0,1,0.666667,0,0,1,0.909091,0,1,0,0,0,0,0.666667,0,0,0,1,0,0,0,0.666667,0] f_measure 0.797101 [0,0,1,0.75,0,0,1,0.75,0,0,0,0,0,0,1,1,0,0,0.666667,0,0,1,0,0] f_measure 0.958454 [0,0,1,1,0,0,0.8,0.888889,0,1,0,1,0,0,1,1,0,0,1,0,0,0,1,0] f_measure 0.826087 [0,0,1,1,0,0,0.666667,0.666667,0,1,0,0,0,0,1,1,0,0,1,0,0,1,0,0] f_measure 0.788603 [0,0,0.909091,0.8,0,0,1,0.75,0,1,1,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] f_measure 0.916667 [0,0,1,1,0,0,1,0.75,0,1,0,1,0,0,1,1,0,0,0.666667,0,0,1,1,0] f_measure 0.606522 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[0,0,0.909091,0.666667,0,0,0,0.833333,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] f_measure 0.815942 [0,0,1,0.5,0,0,0.8,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0.666667,0] f_measure 0.648033 [0,0,1,0.666667,0,0,0,0.714286,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0] f_measure 0.755556 [0,0,1,0.8,0,0,0.666667,0.888889,0,1,0,0.666667,0,0,1,1,0,0,0.666667,0,0,0,0,0] f_measure 0.828458 [0,0,0.909091,0.8,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0] f_measure 0.813966 [0,0,0.909091,0.8,0,0,0.666667,0.8,0,1,0,1,0,0,1,1,0,0,0.666667,0,0,0,1,0] f_measure 0.748165 [0,0,1,0.666667,0,0,0.666667,0.727273,0,1,0,0.666667,0,0,1,0,0,0,0.857143,0,0,0,0.666667,0] f_measure 0.653846 [0,0,0.923077,1,0,0,0.5,0.5,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0.666667,1,0] f_measure 0.803846 [0,0,0.923077,1,0,0,0.8,0.75,0,1,0,0,0,0,1,1,0,0,0.8,0,0,1,0,0] f_measure 0.805797 [0,0,0.909091,0.8,0,0,0.8,0.909091,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,1,1,0] f_measure 0.592977 [0,0,0.923077,0.8,0,0,0.666667,0.5,0,0,0,1,0,0,0,1,0,0,0,0,0,0.666667,0,0] f_measure 0.806522 [0,0,1,0.8,0,0,0.8,0.75,0,1,0,0,0,0,1,0,0,0,0.8,0,0,1,1,0] f_measure 0.678261 [0,0,1,1,0,0,0.8,0.571429,0,1,0,0,0,0,1,0,0,0,0.571429,0,0,0,0,0] f_measure 0.828019 [0,0,1,1,0,0,0.8,0.888889,0,1,0,0,0,0,1,1,0,0,1,0,0,0,1,0] f_measure 0.913043 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,0,0,0,1,0,0,1,1,0] f_measure 0.760145 [0,0,1,0.8,0,0,1,0.75,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,1,0,0] f_measure 0.728986 [0,0,1,1,0,0,0,0.833333,0,1,0,1,0,0,1,0,0,0,0.8,0,0,0,1,0] f_measure 0.768841 [0,0,1,1,0,0,0.666667,0.75,0,0,0,0,0,0,1,0,0,0,0.8,0,0,1,1,0] f_measure 0.780632 [0,0,0.909091,0.5,0,0,0.666667,0.833333,0,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0] f_measure 0.762542 [0,0,0.923077,1,0,0,1,0.666667,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0.666667,1,0] f_measure 0.845411 [0,0,1,1,0,0,1,0.888889,0,0,0,1,0,0,0.666667,1,0,0,0.666667,0,0,1,0,0] f_measure 0.713768 [0,0,0.833333,0.666667,0,0,1,0.75,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] f_measure 0.727759 [0,0,0.923077,1,0,0,0.8,0.8,0,1,0,0,0,0,1,0,0,0,0.8,0,0,0,0,0] f_measure 0.772266 [0,0,0.909091,1,0,0,1,0.75,0.666667,0,0,1,0,0,1,1,0,0,0.4,0,0,1,0,0] f_measure 0.745756 [0,0,1,1,0,0,0.8,0.571429,0,1,0,0.666667,0,0,1,0,0,0,0.8,0,0,0,1,0] f_measure 0.766347 [0,0,0.909091,0.857143,0,0,0.8,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0] f_measure 0.649689 [0,0,0.857143,1,0,0,0.4,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] f_measure 0.723671 [0,0,1,0.666667,0,0,0.8,0.888889,0,0,0,0,0,0,1,0,0,0,0.8,0,0,1,0,0] f_measure 0.661093 [0,0,0.923077,1,0,0,0.666667,0.666667,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] f_measure 0.805797 [0,0,1,1,0,0,0.8,0.666667,0,1,0,1,0,0,1,0,0,0,0.8,0,0,1,1,0] f_measure 0.80415 [0,0,0.909091,1,0,0,0.8,0.75,0,0,0,0,0,0,1,1,0,0,0.8,0,0,1,1,0] f_measure 0.748774 [0,0,0.923077,1,0,0,0.8,0.75,0,1,0,0,0,0,1,1,0,0,0.666667,0,0,0,0,0] f_measure 0.788629 [0,0,0.923077,1,0,0,0.8,0.8,0,1,0,1,0,0,1,0,0,0,0.5,0,0,0,1,0] f_measure 0.722868 [0,0,0.909091,0.857143,0,0,0.8,0.571429,0,0,0,1,0,0,1,0,0,0,0.571429,0,0,1,0,0] f_measure 0.768841 [0,0,1,1,0,0,0.666667,0.75,0,1,0,1,0,0,1,0,0,0,0.8,0,0,0,1,0] f_measure 0.663768 [0,0,1,0.666667,0,0,0.8,0.666667,0,0,0,0,0,0,1,0,0,0.5,0.5,0,0,1,0.5,0] f_measure 0.551164 [0,0,0.909091,0.8,0,0,0.8,0.444444,0,0,0,0,0,0,0,0,0,0,0.4,0,0,0,1,0] f_measure 0.893971 [0,0,0.888889,0.857143,0,0,1,0.909091,0,1,0,0,0,0,1,1,0,0,1,0,0,1,1,0] f_measure 0.599034 [0,0,0.888889,0.666667,0,0,0.666667,0.6,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] f_measure 0.797521 [0,0,0.909091,1,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,0.5,0,0,1,0,0] f_measure 0.842424 [0,0,1,1,0,0,0.8,0.666667,0,0,0,1,0,0,1,0,0,0,0.8,0,0,1,1,0] f_measure 0.892929 [0,0,1,1,0,0,0.8,0.888889,0,1,0,0,0,0,1,1,0,0,0.8,0,0,0,1,0] f_measure 0.675325 [0,0,0.833333,0.8,0,0,0.8,0.571429,0,0,0,1,0,0,1,0,0,0,0.4,0,0,0,1,0] f_measure 0.798124 [0,0,0.857143,0.8,0,0,1,0.888889,0,0,0,0,0,0,0,0,0,0,0.857143,0,0,1,0,0] f_measure 0.592562 [0,0,0.8,0.8,0,0,0.4,0.727273,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0] f_measure 0.694697 [0,0,1,0.666667,0,0,0.8,0.75,0,0,0,0,0,0,1,0,0,0,0.8,0,0,1,0,0] f_measure 0.749954 [0,0,0.909091,0.5,0,0,1,0.888889,0,0,0,0,0,0,1,0,0,0,0.8,0,0,0,1,0] f_measure 0.911111 [0,0,1,1,0,0,1,0.888889,0,1,0,1,0,0,1,1,0,0,0.8,0,0,0,1,0] f_measure 0.614358 [0,0,0.888889,0.857143,0,0,0.5,0.5,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] f_measure 0.865657 [0,0,1,0.666667,0,0,0.8,0.888889,0,1,0,1,0,0,0.666667,1,0,0,1,0,0,0,0,0] f_measure 0.758333 [0,0,1,1,0,0,0.666667,0.75,0,1,0,0,0,0,1,0,0,0,0.8,0,0,0,1,0] f_measure 0.680808 [0,0,0.888889,0.666667,0,0,0.8,0.666667,0,1,0,0,0,0,1,0.666667,0,0,0.8,0,0,0,0,0] f_measure 0.777778 [0,0,1,1,0,0,0.666667,0.888889,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] f_measure 0.748737 [0,0,1,1,0,0,0.666667,0.444444,0,0,0,0,0,0,1,0,0,0,0.75,0,0,0.666667,1,0] f_measure 0.71832 [0,0,0.833333,1,0,0,1,0.727273,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] f_measure 0.629545 [0,0,0.833333,0.8,0,0,1,0.75,0,1,0,0,0,0,0,0,0,0,0.666667,0,0,0,0,0] f_measure 0.806845 [0,0,0.923077,1,0,0,1,0.909091,0,0,0,0,0,0,0.666667,0,0,0,1,0,0,1,0,0] f_measure 0.783009 [0,0,1,0.666667,0,0,1,0.75,0,1,0,1,0,0,0,1,0,0,0.571429,0,0,0,0,0] f_measure 0.747475 [0,0,1,1,0,0,0.5,0.888889,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0] f_measure 0.810823 [0,0,1,0.666667,0,0,0.8,0.666667,0,1,0,1,0,0,0,1,0,0,0.857143,0,0,0,0.666667,0] f_measure 0.801299 [0,0,1,1,0,0,0.8,0.857143,0,1,0,0,0,0,1,0,0,0,0.8,0,0,0,1,0] f_measure 0.708874 [0,0,0.833333,1,0,0,1,0.857143,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] f_measure 0.60303 [0,0,0.833333,0.666667,0,0,0,0.666667,0,0,0,1,0,0,1,0,0,0,0.8,0,0,0,0,0] f_measure 0.697203 [0,0,0.923077,1,0,0,0.8,0.8,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0] f_measure 0.66157 [0,0,0.909091,0.8,0,0,0.666667,0.333333,0,1,0,0,0,0,1,1,0,0,0.5,0,0,0,0,0] f_measure 0.666667 [0,0,0.833333,0.8,0,0,0.666667,0.6,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] f_measure 0.636364 [0,0,0.833333,0.666667,0,0,0.666667,0.333333,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0.666667,1,0] f_measure 0.645455 [0,0,0.833333,0.8,0,0,0,0.8,0,1,0,0,0,0,1,0,0,0,0.8,0,0,0,0,0] f_measure 0.754779 [0,0,0.923077,0.8,0,0,1,0.666667,0,1,0,1,0,0,1,0,0,0,0.4,0,0,0,1,0] f_measure 0.704762 [0,0,0.833333,0.857143,0,0,0.8,0.75,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] f_measure 0.59697 [0,0,0.8,0.666667,0,0,0,0.6,0,1,0,0,0,0,1,0,0,0,0.8,0,0,0,1,0] f_measure 0.758874 [0,0,1,1,0,0,0.8,0.857143,0,0,0,0.666667,0,0,0,0,0,0,1,0,0,0,1,0] f_measure 0.702273 [0,0,1,1,0,0,0.8,0.4,0,0,0,0,0,0,0,0,0,0,0.75,0,0,1,1,0] f_measure 0.696419 [0,0,0.909091,0.8,0,0,0.666667,0.666667,0,1,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,1,0] f_measure 0.792657 [0,0,0.923077,0.8,0,0,0.666667,0.833333,0,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0] f_measure 0.744805 [0,0,1,1,0,0,0.8,0.571429,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] f_measure 0.911111 [0,0,1,1,0,0,1,0.888889,0,1,0,0,0,0,1,1,0,0,0.8,0,0,1,0,0] f_measure 0.830303 [0,0,1,1,0,0,0.8,0.75,0,1,0,1,0,0,0.666667,0,0,0,1,0,0,0,0,0] f_measure 0.798501 [0,0,0.923077,0.8,0,0,1,0.857143,0,1,0,1,0,0,1,0,0,0,0.5,0,0,0,1,0] kappa 0.743304 kappa 0.742152 kappa 0.639821 kappa 0.849673 kappa 0.794643 kappa 0.794643 kappa 0.948775 kappa 0.8 kappa 0.751082 kappa 0.899123 kappa 0.596491 kappa 0.69265 kappa 0.793722 kappa 0.800866 kappa 0.744444 kappa 0.796909 kappa 0.948775 kappa 0.798687 kappa 0.643016 kappa 0.847007 kappa 0.746137 kappa 0.688488 kappa 0.795556 kappa 0.642222 kappa 0.75162 kappa 0.798687 kappa 0.796909 kappa 0.745575 kappa 0.642222 kappa 0.79646 kappa 0.796009 kappa 0.592018 kappa 0.798246 kappa 0.650759 kappa 0.802575 kappa 0.9 kappa 0.69869 kappa 0.746137 kappa 0.748359 kappa 0.744444 kappa 0.744444 kappa 0.847345 kappa 0.696703 kappa 0.740991 kappa 0.752155 kappa 0.75 kappa 0.744444 kappa 0.634091 kappa 0.700651 kappa 0.634091 kappa 0.801296 kappa 0.799564 kappa 0.745011 kappa 0.792793 kappa 0.69869 kappa 0.753747 kappa 0.653017 kappa 0.5 kappa 0.898678 kappa 0.547046 kappa 0.786925 kappa 0.84058 kappa 0.892157 kappa 0.630695 kappa 0.776081 kappa 0.572816 kappa 0.687204 kappa 0.684211 kappa 0.895238 kappa 0.576923 kappa 0.841727 kappa 0.739953 kappa 0.685714 kappa 0.73301 kappa 0.727047 kappa 0.725 kappa 0.628916 kappa 0.833753 kappa 0.7343 kappa 0.687204 kappa 0.787952 kappa 0.788969 kappa 0.684211 kappa 0.612091 kappa 0.728395 kappa 0.630695 kappa 0.625304 kappa 0.631579 kappa 0.622549 kappa 0.7343 kappa 0.678049 kappa 0.579952 kappa 0.741176 kappa 0.683453 kappa 0.687204 kappa 0.776081 kappa 0.730392 kappa 0.892683 kappa 0.838631 kappa 0.786408 kb_relative_information_score 16.592059 kb_relative_information_score 16.627562 kb_relative_information_score 13.59652 kb_relative_information_score 19.129607 kb_relative_information_score 15.150725 kb_relative_information_score 17.169093 kb_relative_information_score 19.08307 kb_relative_information_score 17.730933 kb_relative_information_score 16.972614 kb_relative_information_score 18.935829 kb_relative_information_score 13.789434 kb_relative_information_score 15.856784 kb_relative_information_score 16.612467 kb_relative_information_score 18.693907 kb_relative_information_score 15.883336 kb_relative_information_score 17.92036 kb_relative_information_score 19.262416 kb_relative_information_score 16.692869 kb_relative_information_score 16.238665 kb_relative_information_score 17.098411 kb_relative_information_score 15.158563 kb_relative_information_score 14.272631 kb_relative_information_score 15.457727 kb_relative_information_score 15.597695 kb_relative_information_score 16.772543 kb_relative_information_score 17.794989 kb_relative_information_score 17.026039 kb_relative_information_score 16.133288 kb_relative_information_score 13.601381 kb_relative_information_score 17.484583 kb_relative_information_score 17.026173 kb_relative_information_score 14.120838 kb_relative_information_score 18.647167 kb_relative_information_score 17.342773 kb_relative_information_score 18.396369 kb_relative_information_score 20.091932 kb_relative_information_score 15.878318 kb_relative_information_score 18.520501 kb_relative_information_score 16.247334 kb_relative_information_score 16.189079 kb_relative_information_score 16.56296 kb_relative_information_score 17.486664 kb_relative_information_score 16.815425 kb_relative_information_score 14.251391 kb_relative_information_score 17.943478 kb_relative_information_score 18.223295 kb_relative_information_score 17.001309 kb_relative_information_score 13.147668 kb_relative_information_score 15.061115 kb_relative_information_score 14.428276 kb_relative_information_score 16.756599 kb_relative_information_score 16.355596 kb_relative_information_score 15.254734 kb_relative_information_score 15.766784 kb_relative_information_score 15.594795 kb_relative_information_score 17.654578 kb_relative_information_score 13.838687 kb_relative_information_score 12.793147 kb_relative_information_score 18.495643 kb_relative_information_score 11.850406 kb_relative_information_score 15.391 kb_relative_information_score 16.227991 kb_relative_information_score 17.369092 kb_relative_information_score 14.725105 kb_relative_information_score 13.448962 kb_relative_information_score 12.53393 kb_relative_information_score 16.409408 kb_relative_information_score 14.938459 kb_relative_information_score 18.995685 kb_relative_information_score 12.714706 kb_relative_information_score 17.343718 kb_relative_information_score 16.673073 kb_relative_information_score 14.594164 kb_relative_information_score 14.034012 kb_relative_information_score 14.127172 kb_relative_information_score 13.225153 kb_relative_information_score 15.198728 kb_relative_information_score 14.067873 kb_relative_information_score 16.55494 kb_relative_information_score 13.336234 kb_relative_information_score 17.047327 kb_relative_information_score 16.453677 kb_relative_information_score 13.889115 kb_relative_information_score 12.431316 kb_relative_information_score 14.834676 kb_relative_information_score 12.94595 kb_relative_information_score 13.709903 kb_relative_information_score 14.69849 kb_relative_information_score 10.511996 kb_relative_information_score 17.37863 kb_relative_information_score 14.876531 kb_relative_information_score 14.206903 kb_relative_information_score 16.774504 kb_relative_information_score 14.988214 kb_relative_information_score 14.402227 kb_relative_information_score 13.959389 kb_relative_information_score 13.957832 kb_relative_information_score 18.141658 kb_relative_information_score 15.449352 kb_relative_information_score 18.040785 mean_absolute_error 0.020476 mean_absolute_error 0.020007 mean_absolute_error 0.029013 mean_absolute_error 0.016921 mean_absolute_error 0.022318 mean_absolute_error 0.018696 mean_absolute_error 0.010312 mean_absolute_error 0.019724 mean_absolute_error 0.020576 mean_absolute_error 0.014078 mean_absolute_error 0.030715 mean_absolute_error 0.023885 mean_absolute_error 0.019807 mean_absolute_error 0.016358 mean_absolute_error 0.02109 mean_absolute_error 0.021163 mean_absolute_error 0.011378 mean_absolute_error 0.019412 mean_absolute_error 0.023512 mean_absolute_error 0.015192 mean_absolute_error 0.022238 mean_absolute_error 0.026567 mean_absolute_error 0.021229 mean_absolute_error 0.027189 mean_absolute_error 0.02189 mean_absolute_error 0.018528 mean_absolute_error 0.02059 mean_absolute_error 0.023468 mean_absolute_error 0.028677 mean_absolute_error 0.019284 mean_absolute_error 0.018702 mean_absolute_error 0.030291 mean_absolute_error 0.017425 mean_absolute_error 0.023438 mean_absolute_error 0.019901 mean_absolute_error 0.013351 mean_absolute_error 0.023866 mean_absolute_error 0.017892 mean_absolute_error 0.02294 mean_absolute_error 0.022109 mean_absolute_error 0.01979 mean_absolute_error 0.01825 mean_absolute_error 0.021411 mean_absolute_error 0.023879 mean_absolute_error 0.022109 mean_absolute_error 0.019265 mean_absolute_error 0.020334 mean_absolute_error 0.027478 mean_absolute_error 0.027865 mean_absolute_error 0.026659 mean_absolute_error 0.020856 mean_absolute_error 0.020962 mean_absolute_error 0.023153 mean_absolute_error 0.01907 mean_absolute_error 0.025706 mean_absolute_error 0.022843 mean_absolute_error 0.029543 mean_absolute_error 0.03654 mean_absolute_error 0.014386 mean_absolute_error 0.034706 mean_absolute_error 0.020923 mean_absolute_error 0.01855 mean_absolute_error 0.01245 mean_absolute_error 0.027401 mean_absolute_error 0.021586 mean_absolute_error 0.031411 mean_absolute_error 0.024164 mean_absolute_error 0.024158 mean_absolute_error 0.012212 mean_absolute_error 0.034019 mean_absolute_error 0.018487 mean_absolute_error 0.021958 mean_absolute_error 0.026471 mean_absolute_error 0.023135 mean_absolute_error 0.02245 mean_absolute_error 0.023818 mean_absolute_error 0.026218 mean_absolute_error 0.021468 mean_absolute_error 0.019712 mean_absolute_error 0.027473 mean_absolute_error 0.018539 mean_absolute_error 0.018212 mean_absolute_error 0.025901 mean_absolute_error 0.027528 mean_absolute_error 0.02299 mean_absolute_error 0.028325 mean_absolute_error 0.027036 mean_absolute_error 0.026541 mean_absolute_error 0.035926 mean_absolute_error 0.01956 mean_absolute_error 0.02411 mean_absolute_error 0.02993 mean_absolute_error 0.023018 mean_absolute_error 0.026104 mean_absolute_error 0.026999 mean_absolute_error 0.019873 mean_absolute_error 0.022253 mean_absolute_error 0.013217 mean_absolute_error 0.018561 mean_absolute_error 0.015848 mean_prior_absolute_error 0.072029 mean_prior_absolute_error 0.072261 mean_prior_absolute_error 0.072362 mean_prior_absolute_error 0.07313 mean_prior_absolute_error 0.072261 mean_prior_absolute_error 0.072014 mean_prior_absolute_error 0.071957 mean_prior_absolute_error 0.072681 mean_prior_absolute_error 0.07229 mean_prior_absolute_error 0.072217 mean_prior_absolute_error 0.072319 mean_prior_absolute_error 0.07229 mean_prior_absolute_error 0.072087 mean_prior_absolute_error 0.072754 mean_prior_absolute_error 0.072261 mean_prior_absolute_error 0.072435 mean_prior_absolute_error 0.072246 mean_prior_absolute_error 0.073145 mean_prior_absolute_error 0.072333 mean_prior_absolute_error 0.072261 mean_prior_absolute_error 0.072333 mean_prior_absolute_error 0.072 mean_prior_absolute_error 0.071971 mean_prior_absolute_error 0.073174 mean_prior_absolute_error 0.073043 mean_prior_absolute_error 0.07229 mean_prior_absolute_error 0.072246 mean_prior_absolute_error 0.072783 mean_prior_absolute_error 0.072304 mean_prior_absolute_error 0.072246 mean_prior_absolute_error 0.072275 mean_prior_absolute_error 0.072188 mean_prior_absolute_error 0.072261 mean_prior_absolute_error 0.072377 mean_prior_absolute_error 0.073043 mean_prior_absolute_error 0.07287 mean_prior_absolute_error 0.072087 mean_prior_absolute_error 0.073072 mean_prior_absolute_error 0.07229 mean_prior_absolute_error 0.072275 mean_prior_absolute_error 0.072275 mean_prior_absolute_error 0.072377 mean_prior_absolute_error 0.072304 mean_prior_absolute_error 0.07229 mean_prior_absolute_error 0.073174 mean_prior_absolute_error 0.072899 mean_prior_absolute_error 0.072116 mean_prior_absolute_error 0.072333 mean_prior_absolute_error 0.072812 mean_prior_absolute_error 0.072333 mean_prior_absolute_error 0.073043 mean_prior_absolute_error 0.072797 mean_prior_absolute_error 0.07229 mean_prior_absolute_error 0.072275 mean_prior_absolute_error 0.072101 mean_prior_absolute_error 0.073029 mean_prior_absolute_error 0.073101 mean_prior_absolute_error 0.072435 mean_prior_absolute_error 0.072768 mean_prior_absolute_error 0.072638 mean_prior_absolute_error 0.072682 mean_prior_absolute_error 0.072379 mean_prior_absolute_error 0.071818 mean_prior_absolute_error 0.071833 mean_prior_absolute_error 0.071379 mean_prior_absolute_error 0.072636 mean_prior_absolute_error 0.072667 mean_prior_absolute_error 0.071864 mean_prior_absolute_error 0.072621 mean_prior_absolute_error 0.072303 mean_prior_absolute_error 0.072409 mean_prior_absolute_error 0.072636 mean_prior_absolute_error 0.072636 mean_prior_absolute_error 0.071833 mean_prior_absolute_error 0.071576 mean_prior_absolute_error 0.072379 mean_prior_absolute_error 0.072758 mean_prior_absolute_error 0.071833 mean_prior_absolute_error 0.071894 mean_prior_absolute_error 0.072667 mean_prior_absolute_error 0.072288 mean_prior_absolute_error 0.0725 mean_prior_absolute_error 0.073061 mean_prior_absolute_error 0.071848 mean_prior_absolute_error 0.072515 mean_prior_absolute_error 0.071621 mean_prior_absolute_error 0.072515 mean_prior_absolute_error 0.071803 mean_prior_absolute_error 0.072303 mean_prior_absolute_error 0.0725 mean_prior_absolute_error 0.072273 mean_prior_absolute_error 0.072515 mean_prior_absolute_error 0.073182 mean_prior_absolute_error 0.072333 mean_prior_absolute_error 0.0725 mean_prior_absolute_error 0.071697 mean_prior_absolute_error 0.072258 mean_prior_absolute_error 0.071879 mean_prior_absolute_error 0.072288 mean_prior_absolute_error 0.0725 number_of_instances 23 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number_of_instances 23 [0,0,6,2,0,0,2,5,0,1,0,0,0,0,1,0,0,1,2,1,0,0,1,1] number_of_instances 23 [0,0,6,2,0,0,2,5,0,0,1,0,0,1,0,0,1,1,2,0,0,1,1,0] number_of_instances 23 [0,0,6,2,0,1,2,5,0,1,0,1,0,0,1,1,0,0,2,0,0,0,1,0] number_of_instances 23 [1,0,5,3,0,0,2,4,0,1,0,1,0,0,1,1,0,0,3,0,0,0,1,0] number_of_instances 23 [0,1,6,2,0,0,2,5,1,0,0,0,1,0,1,0,0,0,2,1,0,0,1,0] number_of_instances 23 [0,0,6,2,0,0,2,5,0,1,0,0,0,0,1,1,0,0,2,0,1,1,1,0] number_of_instances 23 [0,0,6,2,0,0,2,5,0,0,1,0,1,0,1,0,0,0,2,1,1,0,1,0] number_of_instances 23 [0,0,6,2,0,0,2,5,0,1,0,0,0,0,1,0,0,1,3,0,0,0,1,1] number_of_instances 23 [0,0,6,3,0,0,2,5,0,1,0,0,0,0,1,0,0,0,2,0,0,1,1,1] number_of_instances 23 [1,1,5,2,0,0,2,5,0,1,0,0,0,1,1,0,0,1,2,0,0,1,0,0] number_of_instances 23 [0,0,5,2,0,0,2,5,0,1,0,1,1,0,1,1,0,1,2,0,0,0,1,0] number_of_instances 23 [0,0,6,2,0,0,2,5,0,0,0,1,0,1,1,0,0,1,2,0,0,1,1,0] number_of_instances 23 [0,0,6,2,0,1,2,5,0,1,0,1,0,0,1,1,0,0,2,0,0,0,1,0] number_of_instances 23 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[0,0,0.857143,1,0,0,0.666667,0.8,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] precision 0.797101 [0,0,0.833333,1,0,0,1,1,0.5,0,0,1,0,0,1,1,0,0,0.333333,0,0,1,0,0] precision 0.731884 [0,0,1,1,0,0,0.666667,0.666667,0,1,0,0.5,0,0,1,0,0,0,0.666667,0,0,0,1,0] precision 0.764493 [0,0,1,0.75,0,0,0.666667,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0] precision 0.615942 [0,0,0.75,1,0,0,0.333333,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] precision 0.724638 [0,0,1,0.666667,0,0,0.666667,1,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,1,0,0] precision 0.652174 [0,0,0.857143,1,0,0,1,0.571429,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] precision 0.800725 [0,0,1,1,0,0,0.666667,0.75,0,1,0,1,0,0,1,0,0,0,0.666667,0,0,1,1,0] precision 0.818841 [0,0,0.833333,1,0,0,0.666667,1,0,0,0,0,0,0,1,1,0,0,0.666667,0,0,1,1,0] precision 0.759834 [0,0,0.857143,1,0,0,0.666667,1,0,1,0,0,0,0,1,1,0,0,0.5,0,0,0,0,0] precision 0.759834 [0,0,0.857143,1,0,0,0.666667,0.8,0,1,0,1,0,0,1,0,0,0,0.5,0,0,0,1,0] precision 0.799275 [0,0,1,0.75,0,0,0.666667,1,0,0,0,1,0,0,1,0,0,0,0.4,0,0,1,0,0] precision 0.797101 [0,0,1,1,0,0,0.5,1,0,1,0,1,0,0,1,0,0,0,0.666667,0,0,0,1,0] precision 0.684783 [0,0,1,1,0,0,0.666667,0.75,0,0,0,0,0,0,1,0,0,0.333333,0.5,0,0,1,0.333333,0] precision 0.557971 [0,0,1,0.666667,0,0,0.666667,0.5,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,1,0] precision 0.887681 [0,0,1,0.75,0,0,1,0.833333,0,1,0,0,0,0,1,1,0,0,1,0,0,1,1,0] precision 0.608696 [0,0,1,0.666667,0,0,0.5,0.6,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] precision 0.780303 [0,0,0.833333,1,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,0.5,0,0,1,0,0] precision 0.837121 [0,0,1,1,0,0,0.666667,0.75,0,0,0,1,0,0,1,0,0,0,0.666667,0,0,1,1,0] precision 0.893939 [0,0,1,1,0,0,0.666667,1,0,1,0,0,0,0,1,1,0,0,0.666667,0,0,0,1,0] precision 0.742424 [0,0,0.833333,0.666667,0,0,0.666667,1,0,0,0,1,0,0,1,0,0,0,0.333333,0,0,0,1,0] precision 0.806818 [0,0,0.75,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0.75,0,0,1,0,0] precision 0.560606 [0,0,0.8,0.666667,0,0,0.333333,0.666667,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0] precision 0.712121 [0,0,1,0.5,0,0,0.666667,1,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,1,0,0] precision 0.787879 [0,0,1,0.5,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] precision 0.924242 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,1,0,0,0.666667,0,0,0,1,0] precision 0.647727 [0,0,1,0.75,0,0,0.333333,0.666667,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] precision 0.901515 [0,0,1,1,0,0,0.666667,1,0,1,0,1,0,0,0.5,1,0,0,1,0,0,0,0,0] precision 0.787879 [0,0,1,1,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] precision 0.67803 [0,0,1,0.5,0,0,0.666667,0.75,0,1,0,0,0,0,1,0.5,0,0,0.666667,0,0,0,0,0] precision 0.818182 [0,0,1,1,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0] precision 0.763636 [0,0,1,1,0,0,1,0.5,0,0,0,0,0,0,1,0,0,0,0.6,0,0,0.5,1,0] precision 0.677489 [0,0,0.714286,1,0,0,1,0.666667,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] precision 0.632035 [0,0,0.714286,0.666667,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0] precision 0.764069 [0,0,0.857143,1,0,0,1,0.833333,0,0,0,0,0,0,0.5,0,0,0,1,0,0,1,0,0] precision 0.854545 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,0,1,0,0,0.4,0,0,0,0,0] precision 0.772727 [0,0,1,1,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0] precision 0.867424 [0,0,1,1,0,0,0.666667,1,0,1,0,1,0,0,0,1,0,0,0.75,0,0,0,0.5,0] precision 0.80303 [0,0,1,1,0,0,0.666667,1,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] precision 0.707792 [0,0,0.714286,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] precision 0.554113 [0,0,0.833333,0.5,0,0,0,0.571429,0,0,0,1,0,0,1,0,0,0,0.666667,0,0,0,0,0] precision 0.642857 [0,0,0.857143,1,0,0,0.666667,0.666667,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0] precision 0.79697 [0,0,1,0.666667,0,0,0.5,1,0,1,0,0,0,0,1,1,0,0,0.4,0,0,0,0,0] precision 0.69697 [0,0,0.833333,0.666667,0,0,1,0.5,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] precision 0.75 [0,0,0.833333,0.5,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0.5,1,0] precision 0.636364 [0,0,0.833333,0.666667,0,0,0,0.666667,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] precision 0.779221 [0,0,0.857143,0.666667,0,0,1,1,0,1,0,1,0,0,1,0,0,0,0.333333,0,0,0,1,0] precision 0.708333 [0,0,0.833333,0.75,0,0,0.666667,0.75,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0] precision 0.606061 [0,0,1,0.5,0,0,0,0.5,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] precision 0.765152 [0,0,1,1,0,0,0.666667,1,0,0,0,0.5,0,0,0,0,0,0,1,0,0,0,1,0] precision 0.778788 [0,0,1,1,0,0,0.666667,1,0,0,0,0,0,0,0,0,0,0,0.6,0,0,1,1,0] precision 0.734848 [0,0,1,0.666667,0,0,0.5,1,0,1,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,1,0] precision 0.805195 [0,0,0.857143,1,0,0,1,0.714286,0,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0] precision 0.736364 [0,0,1,1,0,0,0.666667,0.666667,0,1,0,0,0,0,1,0,0,0,0.4,0,0,0,1,0] precision 0.924242 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,1,0,0,0.666667,0,0,1,0,0] precision 0.810606 [0,0,1,1,0,0,0.666667,0.75,0,1,0,1,0,0,0.5,0,0,0,1,0,0,0,0,0] precision 0.794372 [0,0,0.857143,0.666667,0,0,1,1,0,1,0,1,0,0,1,0,0,0,0.5,0,0,0,1,0] predictive_accuracy 0.782609 predictive_accuracy 0.782609 predictive_accuracy 0.695652 predictive_accuracy 0.869565 predictive_accuracy 0.826087 predictive_accuracy 0.826087 predictive_accuracy 0.956522 predictive_accuracy 0.826087 predictive_accuracy 0.782609 predictive_accuracy 0.913043 predictive_accuracy 0.652174 predictive_accuracy 0.73913 predictive_accuracy 0.826087 predictive_accuracy 0.826087 predictive_accuracy 0.782609 predictive_accuracy 0.826087 predictive_accuracy 0.956522 predictive_accuracy 0.826087 predictive_accuracy 0.695652 predictive_accuracy 0.869565 predictive_accuracy 0.782609 predictive_accuracy 0.73913 predictive_accuracy 0.826087 predictive_accuracy 0.695652 predictive_accuracy 0.782609 predictive_accuracy 0.826087 predictive_accuracy 0.826087 predictive_accuracy 0.782609 predictive_accuracy 0.695652 predictive_accuracy 0.826087 predictive_accuracy 0.826087 predictive_accuracy 0.652174 predictive_accuracy 0.826087 predictive_accuracy 0.695652 predictive_accuracy 0.826087 predictive_accuracy 0.913043 predictive_accuracy 0.73913 predictive_accuracy 0.782609 predictive_accuracy 0.782609 predictive_accuracy 0.782609 predictive_accuracy 0.782609 predictive_accuracy 0.869565 predictive_accuracy 0.73913 predictive_accuracy 0.782609 predictive_accuracy 0.782609 predictive_accuracy 0.782609 predictive_accuracy 0.782609 predictive_accuracy 0.695652 predictive_accuracy 0.73913 predictive_accuracy 0.695652 predictive_accuracy 0.826087 predictive_accuracy 0.826087 predictive_accuracy 0.782609 predictive_accuracy 0.826087 predictive_accuracy 0.73913 predictive_accuracy 0.782609 predictive_accuracy 0.695652 predictive_accuracy 0.565217 predictive_accuracy 0.913043 predictive_accuracy 0.608696 predictive_accuracy 0.818182 predictive_accuracy 0.863636 predictive_accuracy 0.909091 predictive_accuracy 0.681818 predictive_accuracy 0.818182 predictive_accuracy 0.636364 predictive_accuracy 0.727273 predictive_accuracy 0.727273 predictive_accuracy 0.909091 predictive_accuracy 0.636364 predictive_accuracy 0.863636 predictive_accuracy 0.772727 predictive_accuracy 0.727273 predictive_accuracy 0.772727 predictive_accuracy 0.772727 predictive_accuracy 0.772727 predictive_accuracy 0.681818 predictive_accuracy 0.863636 predictive_accuracy 0.772727 predictive_accuracy 0.727273 predictive_accuracy 0.818182 predictive_accuracy 0.818182 predictive_accuracy 0.727273 predictive_accuracy 0.681818 predictive_accuracy 0.772727 predictive_accuracy 0.681818 predictive_accuracy 0.681818 predictive_accuracy 0.681818 predictive_accuracy 0.681818 predictive_accuracy 0.772727 predictive_accuracy 0.727273 predictive_accuracy 0.636364 predictive_accuracy 0.772727 predictive_accuracy 0.727273 predictive_accuracy 0.727273 predictive_accuracy 0.818182 predictive_accuracy 0.772727 predictive_accuracy 0.909091 predictive_accuracy 0.863636 predictive_accuracy 0.818182 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 recall 0.782609 [0,0,1,1,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.782609 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.695652 [0,0,0.833333,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0] recall 0.869565 [0,0,1,1,0,0,1,0.75,0,1,0,0,0,0,1,1,0,0,0.666667,0,0,1,1,0] recall 0.826087 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.826087 [0,0,1,1,0,0,1,0.6,0,0,0,0,0,0,1,1,0,0,1,0,0,1,0,0] recall 0.956522 [0,0,1,1,0,0,1,0.8,0,1,0,1,0,0,1,1,0,0,1,0,0,0,1,0] recall 0.826087 [0,0,1,1,0,0,1,0.5,0,1,0,0,0,0,1,1,0,0,1,0,0,1,0,0] recall 0.782609 [0,0,0.833333,1,0,0,1,0.6,0,1,1,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.913043 [0,0,1,1,0,0,1,0.6,0,1,0,1,0,0,1,1,0,0,1,0,0,1,1,0] recall 0.652174 [0,0,0.833333,1,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.73913 [0,0,1,0.5,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.826087 [0,0,1,1,0,0,1,0.8,0,0,0,1,0,0,1,0,0,0,0.5,0,0,1,0,0] recall 0.826087 [0,0,0.8,0.666667,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,1,0,0,1,1,0] recall 0.782609 [0,0,0.833333,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.826087 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,0,0,0,1,1,0,0,1,1,0] recall 0.956522 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,1,0,0,1,0,0,0,1,0] recall 0.826087 [0,0,1,1,0,0,1,0.75,0,1,0,1,0,0,1,1,0,0,0.666667,0,0,0,0,0] recall 0.695652 [0,0,1,1,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.869565 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,1,0,0,1,0,0] recall 0.782609 [0,0,1,1,0,0,1,0.8,0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.73913 [0,0,0.833333,1,0,0,0,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.826087 [0,0,1,0.333333,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0] recall 0.695652 [0,0,1,0.5,0,0,0,1,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0] recall 0.782609 [0,0,1,1,0,0,1,0.8,0,1,0,1,0,0,1,1,0,0,0.5,0,0,0,0,0] recall 0.826087 [0,0,0.833333,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0] recall 0.826087 [0,0,0.833333,1,0,0,1,0.8,0,1,0,1,0,0,1,1,0,0,0.5,0,0,0,1,0] recall 0.782609 [0,0,1,0.5,0,0,0.5,0.8,0,1,0,1,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.695652 [0,0,1,1,0,0,1,0.4,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,1,0] recall 0.826087 [0,0,1,1,0,0,1,0.6,0,1,0,0,0,0,1,1,0,0,1,0,0,1,0,0] recall 0.826087 [0,0,0.833333,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,1,0] recall 0.652174 [0,0,1,1,0,0,1,0.4,0,0,0,1,0,0,0,1,0,0,0,0,0,1,0,0] recall 0.826087 [0,0,1,1,0,0,1,0.6,0,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0] recall 0.695652 [0,0,1,1,0,0,1,0.4,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.826087 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,1,0,0,0,1,0] recall 0.913043 [0,0,1,1,0,0,1,1,0,1,0,1,0,0,1,0,0,0,1,0,0,1,1,0] recall 0.73913 [0,0,1,0.666667,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0] recall 0.782609 [0,0,1,1,0,0,0,1,0,1,0,1,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.782609 [0,0,1,1,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0] recall 0.782609 [0,0,0.833333,0.5,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0] recall 0.782609 [0,0,1,1,0,0,1,0.6,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,1,0] recall 0.869565 [0,0,1,1,0,0,1,0.8,0,0,0,1,0,0,1,1,0,0,1,0,0,1,0,0] recall 0.73913 [0,0,0.833333,1,0,0,1,0.6,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.782609 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.782609 [0,0,1,1,0,0,1,0.6,1,0,0,1,0,0,1,1,0,0,0.5,0,0,1,0,0] recall 0.782609 [0,0,1,1,0,0,1,0.5,0,1,0,1,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.782609 [0,0,0.833333,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0] recall 0.695652 [0,0,1,1,0,0,0.5,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.73913 [0,0,1,0.666667,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0] recall 0.695652 [0,0,1,1,0,0,0.5,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.826087 [0,0,1,1,0,0,1,0.6,0,1,0,1,0,0,1,0,0,0,1,0,0,1,1,0] recall 0.826087 [0,0,1,1,0,0,1,0.6,0,0,0,0,0,0,1,1,0,0,1,0,0,1,1,0] recall 0.782609 [0,0,1,1,0,0,1,0.6,0,1,0,0,0,0,1,1,0,0,1,0,0,0,0,0] recall 0.826087 [0,0,1,1,0,0,1,0.8,0,1,0,1,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.73913 [0,0,0.833333,1,0,0,1,0.4,0,0,0,1,0,0,1,0,0,0,1,0,0,1,0,0] recall 0.782609 [0,0,1,1,0,0,1,0.6,0,1,0,1,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.695652 [0,0,1,0.5,0,0,1,0.6,0,0,0,0,0,0,1,0,0,1,0.5,0,0,1,1,0] recall 0.565217 [0,0,0.833333,1,0,0,1,0.4,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,1,0] recall 0.913043 [0,0,0.8,1,0,0,1,1,0,1,0,0,0,0,1,1,0,0,1,0,0,1,1,0] recall 0.608696 [0,0,0.8,0.666667,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] recall 0.818182 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,0.5,0,0,1,0,0] recall 0.863636 [0,0,1,1,0,0,1,0.6,0,0,0,1,0,0,1,0,0,0,1,0,0,1,1,0] recall 0.909091 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,1,0,0,0,1,0] recall 0.681818 [0,0,0.833333,1,0,0,1,0.4,0,0,0,1,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.818182 [0,0,1,0.666667,0,0,1,0.8,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0] recall 0.636364 [0,0,0.8,1,0,0,0.5,0.8,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0] recall 0.727273 [0,0,1,1,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0] recall 0.727273 [0,0,0.833333,0.5,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.909091 [0,0,1,1,0,0,1,0.8,0,1,0,1,0,0,1,1,0,0,1,0,0,0,1,0] recall 0.636364 [0,0,0.8,1,0,0,1,0.4,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.863636 [0,0,1,0.5,0,0,1,0.8,0,1,0,1,0,0,1,1,0,0,1,0,0,0,0,0] recall 0.772727 [0,0,1,1,0,0,1,0.6,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.727273 [0,0,0.8,1,0,0,1,0.6,0,1,0,0,0,0,1,1,0,0,1,0,0,0,0,0] recall 0.772727 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.772727 [0,0,1,1,0,0,0.5,0.4,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0] recall 0.772727 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] recall 0.681818 [0,0,1,1,0,0,1,0.6,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.863636 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0] recall 0.772727 [0,0,1,0.5,0,0,1,0.6,0,1,0,1,0,0,0,1,0,0,1,0,0,0,0,0] recall 0.727273 [0,0,1,1,0,0,0.5,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.818182 [0,0,1,0.5,0,0,1,0.5,0,1,0,1,0,0,0,1,0,0,1,0,0,0,1,0] recall 0.818182 [0,0,1,1,0,0,1,0.75,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.727273 [0,0,1,1,0,0,1,0.75,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] recall 0.681818 [0,0,0.833333,1,0,0,0,0.8,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.772727 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0] recall 0.681818 [0,0,0.833333,1,0,0,1,0.2,0,1,0,0,0,0,1,1,0,0,0.666667,0,0,0,0,0] recall 0.681818 [0,0,0.833333,1,0,0,0.5,0.75,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.681818 [0,0,0.833333,1,0,0,1,0.2,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,1,0] recall 0.681818 [0,0,0.833333,1,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] recall 0.772727 [0,0,1,1,0,0,1,0.5,0,1,0,1,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.727273 [0,0,0.833333,1,0,0,1,0.75,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.636364 [0,0,0.666667,1,0,0,0,0.75,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.772727 [0,0,1,1,0,0,1,0.75,0,0,0,1,0,0,0,0,0,0,1,0,0,0,1,0] recall 0.727273 [0,0,1,1,0,0,1,0.25,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0] recall 0.727273 [0,0,0.833333,1,0,0,1,0.5,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.818182 [0,0,1,0.666667,0,0,0.5,1,0,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0] recall 0.772727 [0,0,1,1,0,0,1,0.5,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] recall 0.909091 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,1,0,0,1,0,0,1,0,0] recall 0.863636 [0,0,1,1,0,0,1,0.75,0,1,0,1,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.818182 [0,0,1,1,0,0,1,0.75,0,1,0,1,0,0,1,0,0,0,0.5,0,0,0,1,0] relative_absolute_error 0.28428 relative_absolute_error 0.276874 relative_absolute_error 0.400938 relative_absolute_error 0.231377 relative_absolute_error 0.30886 relative_absolute_error 0.259614 relative_absolute_error 0.143313 relative_absolute_error 0.271383 relative_absolute_error 0.284627 relative_absolute_error 0.194939 relative_absolute_error 0.424711 relative_absolute_error 0.3304 relative_absolute_error 0.274765 relative_absolute_error 0.224837 relative_absolute_error 0.291855 relative_absolute_error 0.292164 relative_absolute_error 0.157491 relative_absolute_error 0.265385 relative_absolute_error 0.325048 relative_absolute_error 0.210238 relative_absolute_error 0.307438 relative_absolute_error 0.368989 relative_absolute_error 0.294969 relative_absolute_error 0.37157 relative_absolute_error 0.299688 relative_absolute_error 0.256296 relative_absolute_error 0.28499 relative_absolute_error 0.322433 relative_absolute_error 0.39662 relative_absolute_error 0.266914 relative_absolute_error 0.258759 relative_absolute_error 0.419605 relative_absolute_error 0.241136 relative_absolute_error 0.323828 relative_absolute_error 0.272456 relative_absolute_error 0.183225 relative_absolute_error 0.331075 relative_absolute_error 0.244849 relative_absolute_error 0.317328 relative_absolute_error 0.305899 relative_absolute_error 0.273809 relative_absolute_error 0.252147 relative_absolute_error 0.296119 relative_absolute_error 0.330323 relative_absolute_error 0.302137 relative_absolute_error 0.264278 relative_absolute_error 0.281964 relative_absolute_error 0.379887 relative_absolute_error 0.382702 relative_absolute_error 0.368562 relative_absolute_error 0.285531 relative_absolute_error 0.287945 relative_absolute_error 0.320279 relative_absolute_error 0.263848 relative_absolute_error 0.356527 relative_absolute_error 0.312799 relative_absolute_error 0.404137 relative_absolute_error 0.504454 relative_absolute_error 0.197695 relative_absolute_error 0.477801 relative_absolute_error 0.287876 relative_absolute_error 0.256289 relative_absolute_error 0.173354 relative_absolute_error 0.381452 relative_absolute_error 0.302414 relative_absolute_error 0.432444 relative_absolute_error 0.332527 relative_absolute_error 0.336161 relative_absolute_error 0.168161 relative_absolute_error 0.470512 relative_absolute_error 0.255307 relative_absolute_error 0.302302 relative_absolute_error 0.364431 relative_absolute_error 0.32207 relative_absolute_error 0.313653 relative_absolute_error 0.329071 relative_absolute_error 0.360342 relative_absolute_error 0.298865 relative_absolute_error 0.274178 relative_absolute_error 0.378075 relative_absolute_error 0.256465 relative_absolute_error 0.251205 relative_absolute_error 0.35452 relative_absolute_error 0.383146 relative_absolute_error 0.317032 relative_absolute_error 0.395489 relative_absolute_error 0.372829 relative_absolute_error 0.369636 relative_absolute_error 0.496877 relative_absolute_error 0.26979 relative_absolute_error 0.333603 relative_absolute_error 0.412739 relative_absolute_error 0.314535 relative_absolute_error 0.360882 relative_absolute_error 0.372403 relative_absolute_error 0.27718 relative_absolute_error 0.307974 relative_absolute_error 0.183873 relative_absolute_error 0.256762 relative_absolute_error 0.218596 root_mean_prior_squared_error 0.188346 root_mean_prior_squared_error 0.188961 root_mean_prior_squared_error 0.189229 root_mean_prior_squared_error 0.191248 root_mean_prior_squared_error 0.188961 root_mean_prior_squared_error 0.188308 root_mean_prior_squared_error 0.188154 root_mean_prior_squared_error 0.19007 root_mean_prior_squared_error 0.189038 root_mean_prior_squared_error 0.188846 root_mean_prior_squared_error 0.189114 root_mean_prior_squared_error 0.189038 root_mean_prior_squared_error 0.1885 root_mean_prior_squared_error 0.19026 root_mean_prior_squared_error 0.188961 root_mean_prior_squared_error 0.18942 root_mean_prior_squared_error 0.188922 root_mean_prior_squared_error 0.191286 root_mean_prior_squared_error 0.189152 root_mean_prior_squared_error 0.188961 root_mean_prior_squared_error 0.189152 root_mean_prior_squared_error 0.188269 root_mean_prior_squared_error 0.188192 root_mean_prior_squared_error 0.191362 root_mean_prior_squared_error 0.19102 root_mean_prior_squared_error 0.189038 root_mean_prior_squared_error 0.188922 root_mean_prior_squared_error 0.190336 root_mean_prior_squared_error 0.189076 root_mean_prior_squared_error 0.188922 root_mean_prior_squared_error 0.188999 root_mean_prior_squared_error 0.188769 root_mean_prior_squared_error 0.188961 root_mean_prior_squared_error 0.189267 root_mean_prior_squared_error 0.19102 root_mean_prior_squared_error 0.190565 root_mean_prior_squared_error 0.1885 root_mean_prior_squared_error 0.191096 root_mean_prior_squared_error 0.189038 root_mean_prior_squared_error 0.188999 root_mean_prior_squared_error 0.188999 root_mean_prior_squared_error 0.189267 root_mean_prior_squared_error 0.189076 root_mean_prior_squared_error 0.189038 root_mean_prior_squared_error 0.191362 root_mean_prior_squared_error 0.190641 root_mean_prior_squared_error 0.188577 root_mean_prior_squared_error 0.189152 root_mean_prior_squared_error 0.190413 root_mean_prior_squared_error 0.189152 root_mean_prior_squared_error 0.19102 root_mean_prior_squared_error 0.190374 root_mean_prior_squared_error 0.189038 root_mean_prior_squared_error 0.188999 root_mean_prior_squared_error 0.188539 root_mean_prior_squared_error 0.190983 root_mean_prior_squared_error 0.191172 root_mean_prior_squared_error 0.18942 root_mean_prior_squared_error 0.190298 root_mean_prior_squared_error 0.189955 root_mean_prior_squared_error 0.190071 root_mean_prior_squared_error 0.189273 root_mean_prior_squared_error 0.187786 root_mean_prior_squared_error 0.187826 root_mean_prior_squared_error 0.186612 root_mean_prior_squared_error 0.189952 root_mean_prior_squared_error 0.190032 root_mean_prior_squared_error 0.187907 root_mean_prior_squared_error 0.189912 root_mean_prior_squared_error 0.189072 root_mean_prior_squared_error 0.189353 root_mean_prior_squared_error 0.189952 root_mean_prior_squared_error 0.189952 root_mean_prior_squared_error 0.187826 root_mean_prior_squared_error 0.187139 root_mean_prior_squared_error 0.189273 root_mean_prior_squared_error 0.190271 root_mean_prior_squared_error 0.187826 root_mean_prior_squared_error 0.187987 root_mean_prior_squared_error 0.190032 root_mean_prior_squared_error 0.189032 root_mean_prior_squared_error 0.189593 root_mean_prior_squared_error 0.191065 root_mean_prior_squared_error 0.187866 root_mean_prior_squared_error 0.189632 root_mean_prior_squared_error 0.187261 root_mean_prior_squared_error 0.189632 root_mean_prior_squared_error 0.187745 root_mean_prior_squared_error 0.189072 root_mean_prior_squared_error 0.189593 root_mean_prior_squared_error 0.188992 root_mean_prior_squared_error 0.189632 root_mean_prior_squared_error 0.191382 root_mean_prior_squared_error 0.189152 root_mean_prior_squared_error 0.189593 root_mean_prior_squared_error 0.187463 root_mean_prior_squared_error 0.188952 root_mean_prior_squared_error 0.187947 root_mean_prior_squared_error 0.189032 root_mean_prior_squared_error 0.189593 root_mean_squared_error 0.110823 root_mean_squared_error 0.110456 root_mean_squared_error 0.145941 root_mean_squared_error 0.094488 root_mean_squared_error 0.114839 root_mean_squared_error 0.100152 root_mean_squared_error 0.062394 root_mean_squared_error 0.111094 root_mean_squared_error 0.120576 root_mean_squared_error 0.085117 root_mean_squared_error 0.144498 root_mean_squared_error 0.131252 root_mean_squared_error 0.109358 root_mean_squared_error 0.103295 root_mean_squared_error 0.118157 root_mean_squared_error 0.10116 root_mean_squared_error 0.063962 root_mean_squared_error 0.115156 root_mean_squared_error 0.12762 root_mean_squared_error 0.099693 root_mean_squared_error 0.12599 root_mean_squared_error 0.132161 root_mean_squared_error 0.116484 root_mean_squared_error 0.137279 root_mean_squared_error 0.125233 root_mean_squared_error 0.100552 root_mean_squared_error 0.115473 root_mean_squared_error 0.117755 root_mean_squared_error 0.144209 root_mean_squared_error 0.108295 root_mean_squared_error 0.110138 root_mean_squared_error 0.152833 root_mean_squared_error 0.099373 root_mean_squared_error 0.119979 root_mean_squared_error 0.10575 root_mean_squared_error 0.068518 root_mean_squared_error 0.122863 root_mean_squared_error 0.099667 root_mean_squared_error 0.115737 root_mean_squared_error 0.122427 root_mean_squared_error 0.123258 root_mean_squared_error 0.095179 root_mean_squared_error 0.120696 root_mean_squared_error 0.127817 root_mean_squared_error 0.118955 root_mean_squared_error 0.107943 root_mean_squared_error 0.112488 root_mean_squared_error 0.147239 root_mean_squared_error 0.135281 root_mean_squared_error 0.14035 root_mean_squared_error 0.115364 root_mean_squared_error 0.119523 root_mean_squared_error 0.127061 root_mean_squared_error 0.117145 root_mean_squared_error 0.129543 root_mean_squared_error 0.112622 root_mean_squared_error 0.156093 root_mean_squared_error 0.163253 root_mean_squared_error 0.085146 root_mean_squared_error 0.160829 root_mean_squared_error 0.119499 root_mean_squared_error 0.10298 root_mean_squared_error 0.080995 root_mean_squared_error 0.143816 root_mean_squared_error 0.120638 root_mean_squared_error 0.15932 root_mean_squared_error 0.119586 root_mean_squared_error 0.125514 root_mean_squared_error 0.069165 root_mean_squared_error 0.150075 root_mean_squared_error 0.094057 root_mean_squared_error 0.115017 root_mean_squared_error 0.134636 root_mean_squared_error 0.124618 root_mean_squared_error 0.124304 root_mean_squared_error 0.134894 root_mean_squared_error 0.134363 root_mean_squared_error 0.113208 root_mean_squared_error 0.110085 root_mean_squared_error 0.140995 root_mean_squared_error 0.103723 root_mean_squared_error 0.104215 root_mean_squared_error 0.132191 root_mean_squared_error 0.142345 root_mean_squared_error 0.128175 root_mean_squared_error 0.148106 root_mean_squared_error 0.148413 root_mean_squared_error 0.144225 root_mean_squared_error 0.162993 root_mean_squared_error 0.104666 root_mean_squared_error 0.129995 root_mean_squared_error 0.143669 root_mean_squared_error 0.11421 root_mean_squared_error 0.120375 root_mean_squared_error 0.134323 root_mean_squared_error 0.119221 root_mean_squared_error 0.127657 root_mean_squared_error 0.073854 root_mean_squared_error 0.106957 root_mean_squared_error 0.094575 root_relative_squared_error 0.588398 root_relative_squared_error 0.584546 root_relative_squared_error 0.771239 root_relative_squared_error 0.494062 root_relative_squared_error 0.607738 root_relative_squared_error 0.531852 root_relative_squared_error 0.33161 root_relative_squared_error 0.584491 root_relative_squared_error 0.637841 root_relative_squared_error 0.450723 root_relative_squared_error 0.764079 root_relative_squared_error 0.694315 root_relative_squared_error 0.580148 root_relative_squared_error 0.542916 root_relative_squared_error 0.6253 root_relative_squared_error 0.534049 root_relative_squared_error 0.338564 root_relative_squared_error 0.602011 root_relative_squared_error 0.674693 root_relative_squared_error 0.527585 root_relative_squared_error 0.666079 root_relative_squared_error 0.701977 root_relative_squared_error 0.618964 root_relative_squared_error 0.717382 root_relative_squared_error 0.655601 root_relative_squared_error 0.531914 root_relative_squared_error 0.61122 root_relative_squared_error 0.61867 root_relative_squared_error 0.762703 root_relative_squared_error 0.573224 root_relative_squared_error 0.582744 root_relative_squared_error 0.809627 root_relative_squared_error 0.525891 root_relative_squared_error 0.633913 root_relative_squared_error 0.553606 root_relative_squared_error 0.359554 root_relative_squared_error 0.651793 root_relative_squared_error 0.521552 root_relative_squared_error 0.612246 root_relative_squared_error 0.647766 root_relative_squared_error 0.652161 root_relative_squared_error 0.502881 root_relative_squared_error 0.638348 root_relative_squared_error 0.676147 root_relative_squared_error 0.621624 root_relative_squared_error 0.566214 root_relative_squared_error 0.59651 root_relative_squared_error 0.778413 root_relative_squared_error 0.710464 root_relative_squared_error 0.741992 root_relative_squared_error 0.603937 root_relative_squared_error 0.627829 root_relative_squared_error 0.672147 root_relative_squared_error 0.619816 root_relative_squared_error 0.68709 root_relative_squared_error 0.589697 root_relative_squared_error 0.816506 root_relative_squared_error 0.861857 root_relative_squared_error 0.447433 root_relative_squared_error 0.84667 root_relative_squared_error 0.628705 root_relative_squared_error 0.544081 root_relative_squared_error 0.431314 root_relative_squared_error 0.765686 root_relative_squared_error 0.646464 root_relative_squared_error 0.838741 root_relative_squared_error 0.629295 root_relative_squared_error 0.667958 root_relative_squared_error 0.364195 root_relative_squared_error 0.793743 root_relative_squared_error 0.496728 root_relative_squared_error 0.605509 root_relative_squared_error 0.708789 root_relative_squared_error 0.663477 root_relative_squared_error 0.664232 root_relative_squared_error 0.712697 root_relative_squared_error 0.706169 root_relative_squared_error 0.602729 root_relative_squared_error 0.585595 root_relative_squared_error 0.741956 root_relative_squared_error 0.548704 root_relative_squared_error 0.549677 root_relative_squared_error 0.691865 root_relative_squared_error 0.757692 root_relative_squared_error 0.675912 root_relative_squared_error 0.790906 root_relative_squared_error 0.782635 root_relative_squared_error 0.768193 root_relative_squared_error 0.862067 root_relative_squared_error 0.55206 root_relative_squared_error 0.687832 root_relative_squared_error 0.757617 root_relative_squared_error 0.596762 root_relative_squared_error 0.636392 root_relative_squared_error 0.708481 root_relative_squared_error 0.635971 root_relative_squared_error 0.675604 root_relative_squared_error 0.392953 root_relative_squared_error 0.565811 root_relative_squared_error 0.498833 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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