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Three different algorithms: genetic algorithm (GA), supervised neural network (SNN), and quick classifier (QC) were used to distinguish between the peptide composition of the group of women diagnosed with GTN after GTN treatment and the non-pregnant control group.
| Model | Cross Validation (%) | Recognition Capability (%) |
|---|---|---|
| GA | 56.7 | 97.1 |
| SNN | 50 | 52.9 |
| QC | 33.6 | 84 |
