Table 2.
Results of Jackknife Test
| Dataset | Algorithm | Rate of correct prediction for each class | Overall | |||
| Rate of | ||||||
| Correct | ||||||
| all-α | all-β | α/β | α+β | Prediction | ||
| 277 domains | component coupled | 84.3% | 82.0% | 81.5% | 67.7% | 79.1% |
| neural network | 68.6% | 85.2% | 86.4% | 56.9% | 74.7% | |
| SVM | 74.3% | 82.0% | 87.7% | 72.3% | 79.4% | |
| 498 domains | component coupled | 93.5% | 88.9% | 90.4% | 84.5% | 89.2% |
| neural network | 86.0% | 96.0% | 88.2% | 86.0% | 89.2% | |
| SVM | 88.8% | 95.2% | 96.3% | 91.5% | 93.2% | |