Table 2 Detailed performance metrics for different AI models in DJD diagnosis.
Model | Precision | Recall | F1-score | Accuracy | Macro average F1-score | |
|---|---|---|---|---|---|---|
1 | True = D | 0.78 | 0.53 | 0.63 | 0.72 | 0.70 |
True = N | 0.69 | 0.88 | 0.77 | |||
2 | True = D | 0.81 | 0.55 | 0.66 | 0.74 | 0.72 |
True = N | 0.71 | 0.89 | 0.79 | |||
3 | True = D | 0.69 | 0.63 | 0.66 | 0.70 | 0.70 |
True = N | 0.71 | 0.76 | 0.74 | |||
4 | True = D | 0.71 | 0.67 | 0.69 | 0.72 | 0.72 |
True = N | 0.74 | 0.77 | 0.75 | |||
5 | True = D | 0.69 | 0.61 | 0.65 | 0.69 | 0.69 |
True = N | 0.70 | 0.77 | 0.73 | |||
6 | True = D | 0.74 | 0.58 | 0.65 | 0.72 | 0.71 |
True = N | 0.71 | 0.83 | 0.76 |