Classifier | Selected features | Performance measures | |||||||
---|---|---|---|---|---|---|---|---|---|
Color | HOG | Harlick | Sensitivity % | Precision % | Specificity | FNR % | FPR | Accuracy % | |
DT | ✓ | 89.4 | 89.65 | 0.919 | 10.3 | 0.105 | 89.7 | ||
✓ | 92.25 | 93.10 | 0.944 | 6.9 | 0.06 | 93.1 | |||
✓ | 80.95 | 82.15 | 0.888 | 18.3 | 0.18 | 81.7 | |||
QDA | ✓ | 86.05 | 86.05 | 0.875 | 13.8 | 0.13 | 86.2 | ||
✓ | 94.30 | 93.85 | 0.894 | 6.2 | 0.05 | 93.8 | |||
✓ | 70.73 | 73.25 | 0.769 | 26.6 | 0.26 | 73.4 | |||
Q-SVM | ✓ | 95.6 | 95.75 | 0.956 | 4.1 | 0.03 | 95.9 | ||
✓ | 95.5 | 95.46 | 0.956 | 4.5 | 0.04 | 95.5 | |||
✓ | 82.05 | 82.3 | 0.856 | 17.6 | 0.17 | 82.4 | |||
LR | ✓ | 92.05 | 92.7 | 0.956 | 7.6 | 0.07 | 92.4 | ||
✓ | 95.1 | 95.1 | 0.956 | 4.8 | 0.04 | 95.2 | |||
✓ | 81.45 | 82.25 | 0.875 | 17.9 | 0.18 | 82.1 | |||
N-B | ✓ | 90.9 | 91.8 | 0.956 | 8.6 | 0.08 | 91.4 | ||
✓ | 93.95 | 94.2 | 0.956 | 5.9 | 0.05 | 94.1 | |||
✓ | 82.2 | 83.95 | 0.913 | 16.9 | 0.03 | 83.1 | |||
W-KNN | ✓ | 90.9 | 91.9 | 0.956 | 8.6 | 0.08 | 91.4 | ||
✓ | 93.95 | 94.2 | 0.956 | 5.9 | 0.05 | 94.1 | |||
✓ | 81.15 | 84.2 | 0.938 | 17.6 | 0.08 | 82.4 | |||
EBT | ✓ | 91.45 | 91.85 | 0.994 | 8.3 | 0.08 | 91.7 | ||
✓ | 93.35 | 93.4 | 0.944 | 6.6 | 0.06 | 93.4 | |||
✓ | 81.45 | 82.25 | 0.875 | 17.9 | 0.18 | 82.1 | |||
ESD | ✓ | 86.95 | 88.05 | 0.931 | 12.4 | 0.125 | 87.6 | ||
✓ | 95.5 | 95.45 | 0.956 | 4.5 | 0.04 | 95.5 | |||
✓ | 78.0 | 79.5 | 0.875 | 21.0 | 0.21 | 79.0 | |||
Cubic KNN | ✓ | 93.25 | 93.5 | 0.95 | 6.6 | 0.06 | 93.4 | ||
✓ | 93.15 | 92.7 | 0.973 | 7.2 | 0.07 | 92.8 | |||
✓ | 76.6 | 76.6 | 0.788 | 23.1 | 0.23 | 76.9 | |||
Proposed | ✓ | 95.85 | 95.85 | 0.963 | 4.1 | 0.03 | 95.9 | ||
✓ | 97.1 | 96.75 | 0.963 | 3.8 | 0.02 | 96.2 | |||
✓ | 82.55 | 84.7 | 0.913 | 16.6 | 0.13 | 83.4 |