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AUC and training time improvement for different models compared to MM1-SVM method for NN269 acceptor splice sites.
| Model | SVM kernel | AUC | Training time until convergence (mm.ss) | Performance Improvement | Time Improvement |
| MM1 SVM [18] | Polynomial | 0.9674 | 11.02 | - | - |
| Reduced MM1 SVM (Best in terms of accuracy) | GRBF | 0.9741 | 22.17 | 0.69% | -101.96% |
| Reduced MM1 SVM | Polynomial | 0.9695 | 10.48 | 0.2171% | 2.11% |
| IC Shapiro SVM (Best In terms of Time) | Polynomial | 0.9628 | 01:18 | -0.4755% | 88.21% |
