Table 8.
CNN activated feature-based classification using 10-fold cross-validation.
Method | Accuracy (%) | Sensitivity (%) | Specificity (%) | Precision (%) | F1-Score (%) |
---|---|---|---|---|---|
LSVM | 89.64 | 94.28 | 80.00 | 90.75 | 92.48 |
QSVM | 89.34 | 94.05 | 79.52 | 90.53 | 92.26 |
Cubic–SVM | 81.61 | 91.53 | 60.95 | 82.99 | 87.05 |
SVM–Medium Gaussian | 90.11 | 97.25 | 75.24 | 89.10 | 93.00 |