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. 2021 Oct 14;155(3):267–276. doi: 10.1007/s11060-021-03870-z

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