Table 1.
Method | Acc (%) | Sn (%) | Sp (%) | MCC (%) |
---|---|---|---|---|
CellPPD-1 | 90.70 | 90.90 | 90.50 | 81.60 |
CellPPD-2 | 87.00 | 83.30 | 90.70 | 74.50 |
CellPPD-3 | 83.70 | 78.10 | 89.20 | 68.00 |
SkipCPP-Pred | 90.60 | 88.50 | 92.60 | 81.20 |
CPPred-RF | 91.60 | 90.50 | 92.60 | 83.10 |
TargetCPP | 93.54 | 93.41 | 93.68 | 87.10 |
StackCPPred | 94.50 | 94.20 | 94.80 | 89.00 |
PractiCPP | 95.65 | 94.29 | 97.06 | 91.34 |
The evaluation metrics for balanced data are accuracy (Acc), sensitivity (Sn), specificity (Sp), and MCC. The best results are highlighted in bold.