Figure 5.

Results of the offline classification for all the subjects in a 10-times 10-fold cross-validation test and the 1001 repetitions of a randomization test. (A) Mean classification accuracies in percent, i.e., the number of correctly estimated class labels in the test set. The mean level of 50% is marked by a dashed gray line. The standard deviation of the 10 repetitions are shown with black indicators. The dotted gray line marks the 75% level. The blue asterisks indicate the subjects that were chosen for the subject-independent classification model. (B) Sensitivity (light gray) and specificity (dark gray) of the classifier, averaged over all permutations of the cross-validation test for the individual subjects. (C) Boxplots of the results of the randomization test. The boxes show the first and the third quartile of the classification accuracies of the randomly labeled data. The short blue lines show the median. 99.9% of the data lie within the bounds indicated by the whiskers. The blue markers report the results of the cross-validation with correctly labeled data. The dashed gray line marks the 50% mean accuracy level and the dotted gray line the 75% mean accuracy level.