Research Article
Usage of Probabilistic and General Regression Neural Network for Early Detection and Prevention of Oral Cancer
Table 2
Performance of PNN/GRNN model for classification of various types of oral cancer.
| Estimation parameter | Performance (in %) | Acantholytic | Adenocarcinoma | Basaloid | Lymphoepithelioma-like | Plaque-like | Sarcomatoid | SCC | Verrucous | Benign |
| Accuracy | 99.61 | 99.41 | 99.71 | 99.90 | 99.90 | 99.61 | 99.95 | 95.61 | 100 | True positive (TP) | 0.10 | 0.10 | 0.10 | 0.00 | 0.00 | 0.10 | 56.20 | 1.37 | 35.90 | True negative (TN) | 99.51 | 99.32 | 99.61 | 99.90 | 99.90 | 99.51 | 37.76 | 94.24 | 64.10 | False positive (FP) | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 6.05 | 0.10 | 0.00 | False negative (FN) | 0.39 | 0.59 | 0.29 | 0.10 | 0.10 | 0.39 | 0.00 | 4.29 | 0.00 | Sensitivity | 20.00 | 14.29 | 25 | 0.00 | 0.00 | 20.00 | 100 | 24.14 | 100 | Specificity | 100 | 100 | 100 | 100 | 100 | 100 | 86.19 | 99.90 | 100 | Geometric mean of sensitivity and specificity | 44.72 | 37.80 | 50 | 0.0 | 0.00 | 44.72 | 92.84 | 49 | 100 | Positive predictive value (PPV) | 100 | 100 | 100 | 0.00 | 99.90 | 100 | 90.28 | 93.33 | 100 | Negative predictive value (NPV) | 99.61 | 99.41 | 99.71 | 99.90 | 0.00 | 99.61 | 100 | 95.64 | 100 | Geometric mean of PPV and NPV | 99.80 | 99.71 | 99.85 | 0.00 | 0.00 | 99.80 | 95.02 | 94.48 | 100 | Precision | 100 | 100 | 100 | 0.00 | 0.00 | 100 | 90.28 | 93.33 | 100 | Recall | 20.00 | 14.29 | 25 | 0.00 | 0.00 | 20.00 | 100 | 24.14 | 100 | -measure | 0.33 | 0.25 | 0.40 | 0.00 | 0.00 | 0.33 | 0.94 | 0.38 | 1.00 |
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