Table 3.
Performance evaluation metrics for two classification tasks by using validation datasets 1 and 2, respectively.
| Evaluation Metric | Task1 | Task2 | ||
|---|---|---|---|---|
| VD1 | VD2 | VD1 | VD2 | |
| Accuracy (%) | 81.6 | 75.2 | 63.8 | 91.9 |
| Sensitivity (%) | 90.7 | 83.7 | 86.6 | 81.1 |
| Specificity (%) | 21.6 | 62 | 39.5 | 96.5 |
| PPV (%) | 88.5 | 77.4 | 60.4 | 90.9 |
| NPV (%) | 25.8 | 71 | 73.4 | 92.2 |
| OR | 2.7 | 8.4 | 4.2 | 118.6 |
| F1 (%) | 89.6 | 80.5 | 71.2 | 85.7 |
| F1avg (%) | 80.9 | 74.9 | 61.6 | 91.7 |
| MCC (%) | 13.2 | 47.1 | 29.7 | 80.3 |
Abbreviations and definitions: VD = validation dataset; PPV = positive predictive value; NPV = negative predictive value; OR = odds ratio; MCC = Matthews correlation coefficient.