Table 3 Per-class performance metrics (Precision, Recall, F1-score) for the proposed ResViT model.
From: MCI detection from handwritten drawing test using residual vision transformer
Class | Precision | Recall | F1-Score | Support |
|---|---|---|---|---|
Healthy | 0.72 | 0.78 | 0.65 | 521 |
MCI | 0.67 | 0.61 | 0.69 | 213 |
Macro Average | 0.70 | 0.70 | 0.67 | – |
