Table 4. Performance Comparison against the Existing Method for Benchmark Data Seta.
| training
data set |
independent data set |
|||||||
|---|---|---|---|---|---|---|---|---|
| predictors | Acc (%) | Sn (%) | Sp (%) | MCC | Acc (%) | Sn (%) | Sp (%) | MCC |
| SCMRSA8 | 92.70 | 86.50 | 98.80 | 0.880 | 93.50 | 90.00 | 97.00 | 0.848 |
| iMRSAPreda (proposed) | 96.09 | 96.46 | 95.71 | 0.923 | 95.97 | 93.33 | 96.44 | 0.853 |
| iMRSAPredb (proposed) | 98.15 | 99.41 | 96.90 | 0.963 | 97.48 | 93.33 | 98.22 | 0.903 |
Best results are highlighted in bold.