Results of stratified 10-fold cross-validation runs for data set 1, 2 and 3.

A binary confusion matrix is based on the results of cross-validation by counting the numbers of true positives (TP), false negatives (FN), false positives (FP) and true negatives. For data set 1 the TP values are assigned to the RD and the TN to the NRO. The TN numbers of data set 2 corresponds to the CD and the TN number of data set 3 to the PSY. The sensitivity values for all 3 data sets are defined by TP/(TP+FN) and the corresponding specificity is given by TN/(TN+FP).