during the cross-validation processes. The cross-validation is performed for 30 times. The following measures of predictive performance of the trained models are defined: Precision (Prec) = TP/(TP + FP), Sensitivity (Sn) = TP/(TP + FN), Specificity (Sp) = TN/(TN + FP) and Accuracy (Acc) = (TP + TN)/(TP + FP + TN + FN), where TP, TN, FP and FN are true positive, true negative, false positive and false negative predictions, respectively.
