Research Article
Identification of Women for Referral to Colposcopy by Neural Networks: A Preliminary Study Based on LBC and Molecular Biomarkers
Table 5
Performance of the five LVQ NNs trained and tested for the robustness test (cumulative results for the training and test set).
| | Classifier 1 | Classifier 2 | Classifier 3 | Classifier 4 | Classifier 5 |
| | Sensitivity | 85.81% | 85.16% | 85.16% | 85.81% | 85.81% | | Specificity | 98.01% | 97.46% | 97.28% | 97.73% | 97.55% | | PPV | 85.81% | 82.50% | 81.48% | 84.18% | 83.13% | | NPV | 98.01% | 97.91% | 97.90% | 98.00% | 98.00% | | FPR | 1.99% | 2.54% | 2.72% | 2.27% | 2.45% | | FNR | 14.19% | 14.84% | 14.84% | 14.19% | 14.19% | | OA | 96.50% | 95.95% | 95.79% | 96.26% | 96.10% |
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