| Overall performance of 17 various classifier | |||
| Classifier Name Accuracy (%) | Sensitivity (%) | Specificity (%) | |
| Linear SVM | 86.4 | 91.6 | 83.3 |
| Quadratic SVM | 86.4 | 91.6 | 83.3 |
| Cubic SVM | 87.9 | 89.5 | 83.3 |
| Fine Gaussian SVM | 87.9 | 97.9 | 61.1 |
| Medium Gaussian SVM | 86.4 | 91.6 | 83.3 |
| Coarse Gaussian SVM | 72.7 | 100 | 0 |
| Fine KNN (Proposed method) | 95.5 | 97.9 | 88.8 |
| Medium KNN | 86.4 | 93.7 | 77.7 |
| Coarse KNN | 72.7 | 100 | 0 |
| Cosine KNN | 68.2 | 83.3 | 33.3 |
| Cubic KNN | 86.4 | 93.7 | 77.7 |
| Weighted KNN | 95.5 | 97.9 | 88.8 |
| Linear Discrimination | 87.9 | 93.7 | 83.3 |
| Quadratic Discrimination | 83.3 | 87.5 | 83.3 |
| Complex Tree | 89.4 | 95.8 | 72.2 |
| Medium Tree | 89.4 | 95.8 | 72.2 |
| Simple Tree | 89.4 | 95.8 | 72.2 |