Table 3 Performance comparison among the AMPs prediction methods reported in [12] with our proposed approach for the DAMPD dataset
Tool | Task | Sens(%) | Spec(%) | Prec(%) | Bal Acc(%) |
|---|---|---|---|---|---|
MOEA-FW(SVM-L) | Antimicrobial | 77.32 | 91.62 | 6 1 . 9 8 | 8 4 . 4 7 |
CAMPR3(RF) | Â | 9 2 . 3 2 a | 72.65 | 40.30 | 82.49 |
CAMPR3(SVM) | Â | 90.13 | 72.10 | 39.25 | 81.11 |
ADAM | Â | 84.09 | 68.88 | 35.09 | 76.49 |
MLAMP | Â | 63.62 | 82.27 | 41.78 | 72.94 |
DBAASP | Â | 22.12 | 9 2 . 8 7 | 38.28 | 57.49 |
AMPA | Â | 48.81 | 84.79 | 39.09 | 66.80 |
MOEA-FW(KNN) | Antibacterial | 80.00 | 9 0 . 9 1 | 6 0 . 2 7 | 8 5 . 4 5 |
AntiBP | Â | 8 9 . 7 8 | 45.05 | 24.63 | 67.41 |
AntiBP2 | Â | 86.90 | 15.97 | 17.14 | 51.44 |
MOEA-FW(KNN) | Bacteriocin | 80.00 | 87.50 | 50.00 | 83.75 |
BAGEL3 | Â | 9 3 . 5 5 | 1 0 0 . 0 | 1 0 0 . 0 | 9 6 . 7 7 |
BACTIBASE | Â | 83.87 | 1 0 0 . 0 | 1 0 0 . 0 | 91.93 |