Research Article
Usage of Probabilistic and General Regression Neural Network for Early Detection and Prevention of Oral Cancer
Table 5
Performance of PNN/GRNN model for predicting survivability of oral cancer patients.
| | Performance estimation parameter | Performance |
| | Positive/negative ratio | 0.674 | | Accuracy | 69.95% | | True positive (TP) | 36.68% | | True negative (TN) | 33.27% | | False positive (FP) | 26.44% | | False negative (FN) | 3.61% | | Sensitivity | 91.04% | | Specificity | 55.72% | | Geometric mean of sensitivity-specificity | 71.22% | | Positive predictive value (PPV) | 58.11% | | Negative predictive value (NPV) | 90.21% | | Geometric mean of PPV and NPV | 72.41% | | Precision | 58.11% | | Recall | 91.04% | | -measure | 0.709 | | Area under ROC curve | 0.7491 |
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