Table 1: Performances of logistic regression models trained on different features.

FeaturesPrecisionRecall1AUC

PS0.570.490.520.59
CPS0.610.680.640.68
CPS + HTE0.830.590.690.82

PS: PPRE score; CPS: conserved PPRE score; HTE: high throughput evidence.