Skip to main content

Table 2 Prediction results by subtracting each feature using the 10-fold cross-validation on the training set

From: Computational identification of deleterious synonymous variants in human genomes using a feature-based approach

Feature Recall Precision F-measure (β = 1) AUC
All features 0.700 0.820 0.755 0.851
No SR- 0.697 0.823 0.755 0.851
No MES 0.667 0.810 0.731 0.829
No MDE 0.677 0.820 0.742 0.834
No DVE 0.697 0.816 0.752 0.846
No ese-dens 0.693 0.835 0.757 0.845
No dPSIZ 0.700 0.813 0.752 0.850
No verPhyloP 0.697 0.768 0.731 0.829
No TFBS 0.690 0.818 0.749 0.851
No DSP 0.683 0.837 0.752 0.845
No TE 0.673 0.798 0.731 0.829
  1. The highest values are highlighted in bold