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Table 3: The average performance of several classifier ensembles with respect to the validation set which was initially removed and never included in model training. We show the mean and the standard deviation values from 20 independent validation runs wherein the training data was balanced.

Accuracy F-score AUC SPS95 PDA 0.772 ± 0.034 0.809 ± 0.035 0.861 0.414 Log.Reg. 0.792 ± 0.03 0.834 ± 0.027 0.868 0.458 MLP 0.766 ± 0.027 0.787 ± 0.029 0.858 0.451 SVM 0.786 ± 0.038 0.816 ± 0.042 0.821 0.051 CART 0.755 ± 0.031 0.792 ± 0.029 0.841 0.376 KNN 0.726 ± 0.032 0.766 ± 0.034 0.801 0.297 Mixed 0.789 ± 0.033 0.830 ± 0.026 0.867 0.445