2338543 1856 Miguel Cachada 14 Supervised Classification 5988 weka.AttributeSelectedClassifier_SMO_PolyKernel(2) 418013 weka.classifiers.meta.AttributeSelectedClassifier -- -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W weka.classifiers.functions.SMO -- -C 1.0 -L 0.001 -P 1.0E-12 -N 0 -V -1 -W 1 -K "weka.classifiers.functions.supportVector.PolyKernel -E 1.0 -C 250007" -calibrator "weka.classifiers.functions.Logistic -R 1.0E-8 -M -1 -num-decimal-places 4" C 1.0 5926 N 0 5926 L 0.001 5926 P 1.0E-12 5926 V -1 5926 W 1 5926 K weka.classifiers.functions.supportVector.PolyKernel 5926 calibrator true 5926 E 1.0 5927 C 250007 5927 E weka.attributeSelection.CfsSubsetEval -P 1 -E 1 5988 S weka.attributeSelection.BestFirst -D 1 -N 5 5988 W weka.classifiers.functions.SMO 5988 weka weka_3.8.1 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 5634234 description https://api.openml.org/data/download/5634234/weka_generated_run2697016003263339376.xml -1 5634236 model_readable https://api.openml.org/data/download/5634236/WekaModel_weka.classifiers.meta.AttributeSelectedClassifier5903701702643896579.model -1 5634235 model_serialized https://api.openml.org/data/download/5634235/WekaSerialized_weka.classifiers.meta.AttributeSelectedClassifier8215461602702307800.model -1 5634237 predictions https://api.openml.org/data/download/5634237/weka_generated_predictions2797063193879731325.arff area_under_roc_curve 0.971357 [0.999821,0.945265,0.993193,0.985878,0.948,0.989861,0.939833,0.985285,0.992401,0.934036] average_cost 0 f_measure 0.838819 [0.997494,0.765432,0.952854,0.894057,0.798982,0.925373,0.597468,0.886792,0.97733,0.592405] kappa 0.821667 kb_relative_information_score 577.266674 mean_absolute_error 0.161027 mean_prior_absolute_error 0.18 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.839049 [1,0.756098,0.945813,0.925134,0.813472,0.920792,0.605128,0.839286,0.984772,0.6] predictive_accuracy 0.8395 prior_entropy 3.321928 recall 0.8395 [0.995,0.775,0.96,0.865,0.785,0.93,0.59,0.94,0.97,0.585] relative_absolute_error 0.894593 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.273819 root_relative_squared_error 0.912729 total_cost 0 area_under_roc_curve 0.976194 [0.998333,0.952222,0.997083,0.994444,0.955556,1,0.93125,0.990972,0.997222,0.944861] area_under_roc_curve 0.969389 [1,0.928333,0.994444,0.989444,0.940278,0.983056,0.940278,0.984861,0.99375,0.939444] area_under_roc_curve 0.966514 [1,0.935417,1,0.949167,0.965,0.989028,0.906944,0.964028,1,0.955556] area_under_roc_curve 0.981847 [1,0.956944,0.997917,0.994444,0.975,0.992222,0.974167,0.990556,0.983611,0.953611] area_under_roc_curve 0.967778 [1,0.9275,0.988056,0.984722,0.953611,0.988333,0.945556,0.976667,0.997222,0.916111] area_under_roc_curve 0.972736 [1,0.958056,0.994444,0.993611,0.945417,0.994444,0.943056,0.994444,0.997222,0.906667] area_under_roc_curve 0.9705 [1,0.950278,0.997083,0.986389,0.942778,0.981389,0.948889,0.983333,1,0.914861] area_under_roc_curve 0.971569 [1,0.945,0.997083,0.991389,0.933056,0.995694,0.914167,0.991667,0.991389,0.95625] area_under_roc_curve 0.972 [1,0.943333,0.997222,0.997222,0.946528,0.973333,0.958889,0.986111,1,0.917361] area_under_roc_curve 0.967403 [1,0.957778,0.970833,0.986806,0.930833,1,0.931111,0.994444,0.968333,0.933889] average_cost 0 average_cost 0 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 0.843133 [0.974359,0.8,0.95,0.888889,0.837209,1,0.526316,0.9,0.97561,0.578947] f_measure 0.808094 [1,0.75,0.952381,0.842105,0.722222,0.878049,0.512821,0.863636,0.974359,0.585366] f_measure 0.849026 [1,0.744186,1,0.820513,0.883721,0.923077,0.615385,0.871795,1,0.631579] f_measure 0.868798 [1,0.769231,0.974359,0.952381,0.818182,0.9,0.790698,0.842105,0.974359,0.666667] f_measure 0.812165 [1,0.666667,0.974359,0.85,0.731707,0.878049,0.611111,0.8,0.97561,0.634146] f_measure 0.840211 [1,0.820513,0.952381,0.918919,0.871795,0.952381,0.595745,0.952381,0.974359,0.363636] f_measure 0.820291 [1,0.780488,0.918919,0.9,0.722222,0.904762,0.636364,0.869565,1,0.470588] f_measure 0.850198 [1,0.744186,0.95,0.894737,0.833333,0.95,0.594595,0.930233,0.923077,0.681818] f_measure 0.852457 [1,0.810811,0.97561,0.97561,0.7,0.864865,0.611111,0.888889,1,0.697674] f_measure 0.831603 [1,0.761905,0.883721,0.888889,0.857143,1,0.444444,0.952381,0.974359,0.553191] kappa 0.827778 kappa 0.788889 kappa 0.833333 kappa 0.855556 kappa 0.794444 kappa 0.827778 kappa 0.805556 kappa 0.833333 kappa 0.838889 kappa 0.811111 kb_relative_information_score 58.126211 kb_relative_information_score 57.561907 kb_relative_information_score 56.996747 kb_relative_information_score 58.494393 kb_relative_information_score 57.467114 kb_relative_information_score 58.017067 kb_relative_information_score 57.504403 kb_relative_information_score 57.962231 kb_relative_information_score 57.793975 kb_relative_information_score 57.342626 mean_absolute_error 0.160867 mean_absolute_error 0.161089 mean_absolute_error 0.161311 mean_absolute_error 0.160733 mean_absolute_error 0.161133 mean_absolute_error 0.160911 mean_absolute_error 0.161089 mean_absolute_error 0.160911 mean_absolute_error 0.161022 mean_absolute_error 0.1612 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.847166 [1,0.72,0.95,1,0.782609,1,0.555556,0.9,0.952381,0.611111] precision 0.810703 [1,0.75,0.909091,0.888889,0.8125,0.857143,0.526316,0.791667,1,0.571429] precision 0.85042 [1,0.695652,1,0.842105,0.826087,0.947368,0.631579,0.894737,1,0.666667] precision 0.872658 [1,0.789474,1,0.909091,0.75,0.9,0.73913,0.888889,1,0.75] precision 0.815036 [1,0.75,1,0.85,0.714286,0.857143,0.6875,0.72,0.952381,0.619048] precision 0.844417 [1,0.842105,0.909091,1,0.894737,0.909091,0.518519,0.909091,1,0.461538] precision 0.826203 [1,0.761905,1,0.9,0.8125,0.863636,0.583333,0.769231,1,0.571429] precision 0.856659 [1,0.695652,0.95,0.944444,0.9375,0.95,0.647059,0.869565,0.947368,0.625] precision 0.856797 [1,0.882353,0.952381,0.952381,0.7,0.941176,0.6875,0.8,1,0.652174] precision 0.844393 [1,0.727273,0.826087,1,1,1,0.5,0.909091,1,0.481481] predictive_accuracy 0.845 predictive_accuracy 0.81 predictive_accuracy 0.85 predictive_accuracy 0.87 predictive_accuracy 0.815 predictive_accuracy 0.845 predictive_accuracy 0.825 predictive_accuracy 0.85 predictive_accuracy 0.855 predictive_accuracy 0.83 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 recall 0.845 [0.95,0.9,0.95,0.8,0.9,1,0.5,0.9,1,0.55] recall 0.81 [1,0.75,1,0.8,0.65,0.9,0.5,0.95,0.95,0.6] recall 0.85 [1,0.8,1,0.8,0.95,0.9,0.6,0.85,1,0.6] recall 0.87 [1,0.75,0.95,1,0.9,0.9,0.85,0.8,0.95,0.6] recall 0.815 [1,0.6,0.95,0.85,0.75,0.9,0.55,0.9,1,0.65] recall 0.845 [1,0.8,1,0.85,0.85,1,0.7,1,0.95,0.3] recall 0.825 [1,0.8,0.85,0.9,0.65,0.95,0.7,1,1,0.4] recall 0.85 [1,0.8,0.95,0.85,0.75,0.95,0.55,1,0.9,0.75] recall 0.855 [1,0.75,1,1,0.7,0.8,0.55,1,1,0.75] recall 0.83 [1,0.8,0.95,0.8,0.75,1,0.4,1,0.95,0.65] relative_absolute_error 0.893704 relative_absolute_error 0.894938 relative_absolute_error 0.896173 relative_absolute_error 0.892963 relative_absolute_error 0.895185 relative_absolute_error 0.893951 relative_absolute_error 0.894938 relative_absolute_error 0.893951 relative_absolute_error 0.894568 relative_absolute_error 0.895556 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.273505 root_mean_squared_error 0.273932 root_mean_squared_error 0.274328 root_mean_squared_error 0.273286 root_mean_squared_error 0.274029 root_mean_squared_error 0.273566 root_mean_squared_error 0.273943 root_mean_squared_error 0.273655 root_mean_squared_error 0.273795 root_mean_squared_error 0.274146 root_relative_squared_error 0.911683 root_relative_squared_error 0.913105 root_relative_squared_error 0.914426 root_relative_squared_error 0.910955 root_relative_squared_error 0.91343 root_relative_squared_error 0.911888 root_relative_squared_error 0.913144 root_relative_squared_error 0.912182 root_relative_squared_error 0.912652 root_relative_squared_error 0.91382 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0