Table 2.
Classification performance on the test set across the four partitions
| Partition | AUC | Sensitivity | Specificity | PPV | NPV | F1-score |
|---|---|---|---|---|---|---|
| 1 | 0.8155 (0.6813, 0.9429) | 0.7143 (0.4667, 0.9333) | 0.9167 (0.8472, 0.9722) | 0.6250 (0.3750, 0.8571) | 0.9429 (0.8873, 0.9863) | 0.7981 (0.6729, 0.9016) |
| 2 | 0.9067 (0.8600, 0.9494) | 1.0000 (1.0000, 1.0000) | 0.8133 (0.7260, 0.8987) | 0.3636 (0.1739, 0.5714) | 1.0000 (1.0000, 1.0000) | 0.7152 (0.5798, 0.8362) |
| 3 | 0.7899 (0.6416, 0.9293) | 0.6667 (0.3846, 0.9286) | 0.9130 (0.8438, 0.9726) | 0.5714 (0.3000, 0.8235) | 0.9403 (0.8788, 0.9857) | 0.7709 (0.6318, 0.8889) |
| 4 | 0.9016 (0.8500, 0.9508) | 1.0000 (1.0000, 1.0000) | 0.8033 (0.6964, 0.9000) | 0.3684 (0.1500, 0.6000) | 1.0000 (1.0000, 1.0000) | 0.7147 (0.5662, 0.8383) |
| x˜ | 0.8586 | 0.8571 | 0.8632 | 0.4699 | 0.9714 | 0.7431 |
Data in parentheses are 95% confidence intervals
PPV positive predictive value, NPV negative predictive value, AUC area under the receiver operating characteristic curve