Table 3 Classifier performance. Classifier performance on the benchmark test set. Area under the curve (AUC) statistics for Receiver Operating Characteristics and Precision-Recall curves are shown
From: Identifying Mendelian disease genes with the Variant Effect Scoring Tool
| Â | Performance on benchmark | Performance on benchmark (subset scored by all methods) | ||
|---|---|---|---|---|
Method | ROC AUC | PR AUC | ROC AUC | PR AUC |
VEST | 0.912 | 0.919 | 0.917 | 0.884 |
PolyPhen2 | 0.857 | 0.840 | 0.854 | 0.762 |
SIFT4.0 | 0.835 | 0.715 | 0.838 | 0.724 |