Table 8 ACS classification performance on the external cohort. Reported is \(\mu \pm 2\sigma\) where the samples come from 5-fold stratified cross-validation on the training set. XGBoost is the predictor with the best reported performance in previous work2.
Method | Prevalence | Coverage | Sensitivity | Specificity | PPV | NPV | AUROC | Accuracy |
|---|---|---|---|---|---|---|---|---|
GBDT | \(18 \pm 0\) | \(100 \pm 0\) | \(90 \pm 4\) | \(86 \pm 3\) | \(59 \pm 4\) | \(97 \pm 1\) | \(88 \pm 1\) | \(87 \pm 2\) |
GBDT+SC | \(16 \pm 2\) | \(75 \pm 5\) | \(94 \pm 2\) | \(96 \pm 4\) | \(81 \pm 10\) | \(99 \pm 0\) | \(95 \pm 2\) | \(95 \pm 3\) |
XGBoost | \(18 \pm 0\) | \(100 \pm 0\) | \(63 \pm 12\) | \(97 \pm 3\) | \(83 \pm 13\) | \(92 \pm 2\) | \(80 \pm 4\) | \(91 \pm 1\) |
XGBoost+SC | \(11 \pm 2\) | \(80 \pm 6\) | \(70 \pm 10\) | \(99 \pm 0\) | \(93 \pm 2\) | \(97 \pm 1\) | \(85 \pm 5\) | \(96 \pm 1\) |
