| Overall performance of 17 various classifier | |||
| Classifier Name Accuracy (%) | Sensitivity (%) | Specificity (%) | |
| Linear SVM | 78.8 | 89.5 | 50 |
| Quadratic SVM | 75.8 | 85.4 | 55.5 |
| Cubic SVM | 80.3 | 91.6 | 72.2 |
| Fine Gaussian SVM | 78.8 | 77.0 | 55.5 |
| Medium Gaussian SVM | 75.8 | 85.4 | 50 |
| Coarse Gaussian SVM | 72.7 | 100 | 0 |
| Fine KNN (Proposed method) | 72.7 | 83.3 | 55.5 |
| Medium KNN | 81.8 | 89.5 | 61.1 |
| Coarse KNN | 72.7 | 100 | 0 |
| Cosine KNN | 74.2 | 83.3 | 50 |
| Cubic KNN | 83.3 | 89.5 | 66.6 |
| Weighted KNN | 78.8 | 87.5 | 55.5 |
| Linear Discrimination | 78.8 | 91.6 | 44.4 |
| Quadratic Discrimination | 81.8 | 83.3 | 77.7 |
| Complex Tree | 80.3 | 81.25 | 77.7 |
| Medium Tree | 80.3 | 81.25 | 77.7 |
| Simple Tree | 78.8 | 83.3 | 66.6 |