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Results of jackknife test
| Dataset | Algorithm | Rate of correct prediction for each class | Overall rate of accuracy | |||
| All-α | All-β | α/β | α+β | |||
| 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% | |
| Rough Sets | 77.1% | 77.0% | 93.8% | 66.2% | 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% | |
| Rough Sets | 87.9% | 91.3% | 97.1% | 86.0% | 90.8% | |
