Fig. 6
Performance comparison of nine machine learning models for depression classification on Database I: (a) accuracy and (b) F1-score, averaged across 20 out-of-sample subjects. Results are stratified by five brain lobes (frontal, temporal, parietal, occipital, central) to assess regional discriminative power. Higher values indicate better model performance in distinguishing depressed versus normal EEG patterns.
