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Diagnostic performances of the QC, SNN, and GA models.
| Diagnostic parameter | Quick Classifier | Supervised Neural Network | Genetic algorithm |
|---|---|---|---|
| Recognition capacity (%) | 90.95 | 89.44 | 93.98 |
| Cross validation (%) | 82.90 | 81.50 | 70.28 |
| Sensitivity (%) | 84.38 | 87.50 | 90.32 |
| Specificity (%) | 78.13 | 72.41 | 65.52 |
