Table 2.
The performance of models in the test set for each gene
| Method | Gene | AUC | TP/FN/TN/FP | Sensitivity (95% CI)* | Specificity (95% CI)a |
|---|---|---|---|---|---|
| Binary relevance | IDH | 0.964 (0.922–1) | 5/0/107/14 | 100 (47.8–100) | 88.4 (81.3–93.5) |
| ATRX | 0.775 (0.645–0.905) | 9/8/104/5 | 52.9 (27.8–77%) | 95.4 (89.6–98.5) | |
| MGMT | 0.653 (0.538–0.769) | 15/17/73/21 | 46.9 (29.1–65.3) | 77.7 (67.9–85.6) | |
| EGFR | 0.753 (0.659–0.847) | 18/26/82/0 | 40.9 (26.3–56.8) | 100 (95.6–100) | |
| Ensemble classifier chain | IDH | 0.967 (0.921–1) | 5/0/107/14 | 100 (47.8–100) | 88.4 (81.3–93.5) |
| ATRX | 0.822 (0.687–0.957) | 12/5/93/16 | 70.6 (44–89.7) | 85.3 (77.3–91.4) | |
| MGMT | 0.761 (0.669–0.853) | 21/23/80/2 | 47.7 (32.5–63.3) | 97.6 (91.5–99.7) | |
| EGFR | 0.743 (0.642–0.844) | 26/6/55/39 | 81.2 (63.6–92.8) | 58.5 (47.9–68.6) |
AUC area under the receiver operating characteristic curve, TP true positive, FN false negative, TN true negative, FP false positive, CI confidence interval
aSensitivity, specificity, and their 95% confidence intervals are expressed as percentages