Table 3.
feature type | classifier | Sen (%) | Spe (%) | Acc (%) | Pre (%) | MCC | AUC |
---|---|---|---|---|---|---|---|
PPPS | singlea | 58.05 | 98.11 | 96.58 | 55.04 | 0.547 | 0.919 |
ensembledb | 57.52 | 98.86 | 97.27 | 66.69 | 0.605 | 0.913 | |
PPPST | singlea | 65.49 | 98.25 | 96.99 | 59.74 | 0.610 | 0.935 |
ensembledb | 64.04 | 98.88 | 97.55 | 69.57 | 0.655 | 0.932 |
”Single” represents the single SVM classifier.
”Ensembled” represents the ensemble classifier.