Table 8. Prediction accuracies of the proposed approach in predicting the antimicrobial peptides using Xiao training dataset.
Feature | Sample size | Performance metrics |
|||
---|---|---|---|---|---|
Sn ± SE | Sp ± SE | Ac ± SE | MCC | ||
PAAC + NAAC + PHYC + STRL | 100 | 96.28 ± 1.76 | 95.58 ± 2.00 | 95.93 ± 1.30 | 0.91 ± 0.026 |
500 | 94.46 ± 0.72 | 93.83 ± 0.91 | 94.15 ± 0.53 | 0.88 ± 0.011 | |
769 | 94.10 ± 0.61 | 93.59 ± 0.81 | 93.84 ± 0.50 | 0.88 ± 0.010 | |
AAC + NAAC + PHYC + STRL | 100 | 95.88 ± 1.95 | 95.57 ± 1.97 | 95.72 ± 1.35 | 0.91 ± 0.026 |
500 | 94.51 ± 0.81 | 93.73 ± 0.93 | 94.12 ± 0.62 | 0.88 ± 0.012 | |
769 | 94.08 ± 0.52 | 93.63 ± 0.83 | 93.85 ± 0.49 | 0.88 ± 0.009 |
SE: Standard Error.