Metrics for the model, from Week 2 of AI for Medical Diagnosis.
| Pathology | TP | TN | FP | FN | Accuracy | Prevalence | Sensitivity | Specificity | PPV | NPV | AUC | F1 | Threshold |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Consolidation | 36 | 658 | 297 | 9 | 0.694 | 0.045 | 0.8 | 0.689 | 0.108 | 0.5 | 0.799 | 0.19 | 0.5 |
| Edema | 15 | 767 | 213 | 5 | 0.782 | 0.02 | 0.75 | 0.783 | 0.066 | 0.5 | 0.856 | 0.121 | 0.5 |
| Effusion | 99 | 690 | 196 | 15 | 0.789 | 0.114 | 0.868 | 0.779 | 0.336 | 0.5 | 0.891 | 0.484 | 0.5 |
| Cardiomegaly | 16 | 814 | 169 | 1 | 0.83 | 0.017 | 0.941 | 0.828 | 0.086 | 0.5 | 0.933 | 0.158 | 0.5 |