Vote combines the probability distributions of these base learners: weka.classifiers.meta.CostSensitiveClassifier -cost-matrix "[0.0 1.0; 67.0 0.0]" -S 1 -W weka.classifiers.functions.MLPClassifier -- -N 30 -R 0.3 -O 1.0E-6 -P 1 -E 1 -S 1 -L weka.classifiers.functions.loss.SquaredError -A weka.classifiers.functions.activation.ApproximateSigmoid weka.classifiers.meta.FilteredClassifier -F "weka.filters.unsupervised.attribute.Remove -R 1,2,7,8,12,14,15,22,23,25,26,27,28,29,31,33,35,36" -S 1 -W weka.classifiers.meta.CostSensitiveClassifier -- -cost-matrix "[0.0 1.0; 67.0 0.0]" -S -685699302 -W weka.classifiers.functions.Logistic -- -R 1.0E-8 -M -1 -num-decimal-places 4 using the 'Average' combination rule All the models: CostSensitiveClassifier using reweighted training instances weka.classifiers.functions.MLPClassifier -N 30 -R 0.3 -O 1.0E-6 -P 1 -E 1 -S 1 -L weka.classifiers.functions.loss.SquaredError -A weka.classifiers.functions.activation.ApproximateSigmoid Classifier Model 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"[0.0 1.0; 67.0 0.0]" -S -685699302 -W weka.classifiers.functions.Logistic -- -R 1.0E-8 -M -1 -num-decimal-places 4 on data filtered through weka.filters.unsupervised.attribute.Remove -R 1,2,7,8,12,14,15,22,23,25,26,27,28,29,31,33,35,36 Filtered Header @relation 'satellite-weka.filters.unsupervised.attribute.Remove-R1,2,7,8,12,14,15,22,23,25,26,27,28,29,31,33,35,36' @attribute V3 numeric @attribute V4 numeric @attribute V5 numeric @attribute V6 numeric @attribute V9 numeric @attribute V10 numeric @attribute V11 numeric @attribute V13 numeric @attribute V16 numeric @attribute V17 numeric @attribute V18 numeric @attribute V19 numeric @attribute V20 numeric @attribute V21 numeric @attribute V24 numeric @attribute V30 numeric @attribute V32 numeric @attribute V34 numeric @attribute Target {Normal,Anomaly} @data Classifier Model CostSensitiveClassifier using reweighted training instances weka.classifiers.functions.Logistic -R 1.0E-8 -M -1 -num-decimal-places 4 Classifier Model Logistic Regression with ridge parameter of 1.0E-8 Coefficients... Class Variable Normal ==================== V3 -0.3769 V4 0.423 V5 -0.8343 V6 0.5747 V9 -0.5715 V10 0.2681 V11 -0.2359 V13 0.082 V16 -0.0344 V17 0.0428 V18 0.8836 V19 -0.6422 V20 -0.4184 V21 0.5476 V24 0.0908 V30 0.2226 V32 0.098 V34 0.0677 Intercept -0.7582 Odds Ratios... Class Variable Normal ==================== V3 0.686 V4 1.5265 V5 0.4342 V6 1.7766 V9 0.5647 V10 1.3075 V11 0.7899 V13 1.0855 V16 0.9662 V17 1.0437 V18 2.4195 V19 0.5261 V20 0.6581 V21 1.729 V24 1.0951 V30 1.2493 V32 1.103 V34 1.0701 Cost Matrix 0 1 67 0