Table 3:
Strain recognition using Genetic Algorithm, Supervised Neural Network and Quick Classifier algorithms in five classification models
| Class | Model | Recognition Capability (%) | Cross Validation (%) |
|---|---|---|---|
| Typeable | GA | 100 | 93 |
| SNN | 50 | 51 | |
| QC | 90 | 88 | |
| Location | GA | 97 | 90 |
| SNN | 83 | 80 | |
| QC | 82 | 80 | |
| Outbreak 1 | GA | 100 | 95 |
| SNN | 52 | 50 | |
| QC | 83 | 83 | |
| Outbreak 2 | GA | 100 | 88 |
| SNN | 51 | 51 | |
| QC | 86 | 74 | |
| Outbreak 3 | GA | 100 | 93 |
| SNN | 51 | 50 | |
| QC | 81 | 80 |
GA: genetic algorithm, SNN: supervised neural network, QC: quick classifier