Fig. 3.

Classification results. (a) ROC curve for patient vs control classification. The classification was performed using the pooled data and with leave-10%-out cross-validation through consensus-voting of all input feature sets, ie, RAVENS maps, regional volumes, and region-based descriptors. (b) Correlation between classifier output and negative clinical symptom scores (SANS for SET1, PANSS Negative for sets 2 and 3). Classification scores were obtained by converting the distances of the test samples from the discrimination hyperplane to pseudo-probabilities using sigmoid fits. Negative symptom scores were z-scored within data sets and then pooled together. The correlation for classifier score with negative symptom score was equal to r = .228 (P = .00003). No correlations were found between positive symptom scores and the classifier output (r = −.019, P = .73).