Table 5.
Performance of transformer model for EEG signals with eyes close on different methods for three class (ADHD, MDD, and SMC) classification
| Decision | Method | Accuracy | F1-score | Precision | Recall |
|---|---|---|---|---|---|
| Window-level | Trans + CCE | 67.97 | 64.86 | 66.25 | 63.92 |
| Trans + Focal Loss ( = 2) | 69.87 | 60.55 | 66.21 | 57.48 | |
| Trans + Focal Loss ( = 0.5) | 68.64 | 59.13 | 63.61 | 63.54 | |
| Trans + WCCE | 66.18 | 62.63 | 67.15 | 61.15 | |
| Patient-level | Trans + CCE | 67.19 | 64.83 | 72.75 | 60.92 |
| Trans + Focal Loss ( = 2) | 70.31 | 61.19 | 75.52 | 56.05 | |
| Trans + Focal Loss ( = 0.5) | 70.31 | 61.87 | 66.53 | 65.36 | |
| Trans + WCCE | 65.62 | 60.91 | 72.62 | 57.43 |
The best performance is in bold