Table 2.
Results of performance comparison of classification modules
| Modules | Accuracy (%, 95% CI) | Sensitivity (%, 95% CI) | Specificity (%, 95% CI) | PPVa (%, 95% CI) | NPVb (%, 95% CI) |
|---|---|---|---|---|---|
| XGBoost | 78.2 (71.1, 84.2) | 81.6 (72.7, 88.5) | 72.6 (59.8, 83.1) | 83.2 (74.4, 89.9) | 70.3 (57.6, 81.1) |
| GBC c | 81.2 (74.4, 86.9) | 78.6 (69.5, 86.1) | 85.4 (74.2, 93.1) | 90.0 (81.9, 95.3) | 70.7 (59.0, 80.6) |
| ETC d | 82.4 (75.7, 87.9) | 80.6 (71.6, 87.7) | 85.5 (74.2, 93.1) | 90.2 (82.2, 95.4) | 72.6 (60.9, 82.4) |
a PPV denotes positive predictive value; b NPV denotes negative predictive value; c Gradient Boosting Classifier; d Extra Tree Classifier