Table 6.
Performance of the k-NN model of [3] of the 10CV on 80% training set and on the 20% validation set of 3374 data instances and 984 probe sets.
| Metrics | Validation Set | 10CV |
|---|---|---|
| Spec. | 0.9716 | 0.9546 |
| Sens. | 0.9925 | 0.9920 |
| AUC | 0.9821 | 0.9788 |
| F1-score | 0.9925 | 0.9899 |