TABLE 1.
Results of comparison with several traditional machine learning methods on four datasets.
| Dataset | Method | Sn(%) | Sp(%) | ACC(%) | Str (%) | MCC |
|---|---|---|---|---|---|---|
| GPCR | MLP | 86.8 | 75.3 | 82.8 | 81.5 | 0.61 |
| GPCR | LightGBM | 87.5 | 80.5 | 86.3 | 84.0 | 0.67 |
| GPCR | BRL + CNN | 89.3 | 91.0 | 90.1 | 90.2 | 0.80 |
| Ion channel | MLP | 93.3 | 83.1 | 89.6 | 88.2 | 0.77 |
| Ion channel | LightGBM | 92.7 | 89.3 | 91.7 | 91.0 | 0.81 |
| Ion channel | BRL + CNN | 95.9 | 91.4 | 94.7 | 93.7 | 0.87 |
| Enzyme | MLP | 92.2 | 86.0 | 90.1 | 89.1 | 0.79 |
| Enzyme | LightGBM | 92.8 | 90.5 | 92.4 | 91.7 | 0.83 |
| Enzyme | BRL + CNN | 95.9 | 92.0 | 94.9 | 94.0 | 0.88 |
| NR | MLP | 84.2 | 76.9 | 79.9 | 80.6 | 0.60 |
| NR | LightGBM | 84.4 | 83.1 | 82.7 | 83.8 | 0.65 |
| NR | BRL + CNN | 92.5 | 85.2 | 89.0 | 88.9 | 0.78 |
The best results for each metric are in bold.