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 |