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 |