Table 11 Results for individual extracted set of features using ISIC-UDA dataset
Method | Features | Performance measures | |||||||
|---|---|---|---|---|---|---|---|---|---|
Color | HOG | Harlick | Sensitivity (%) | Precision (%) | Specificity (%) | FNR (%) | FPR | Accuracy (%) | |
Decision tree | ✓ | 72.75 | 77.4 | 90.7 | 23.6 | 0.62 | 76.4 | ||
✓ | 70.15 | 69.4 | 69.3 | 30.0 | 0.30 | 70.0 | |||
✓ | 86.55 | 87.35 | 91.4 | 12.4 | 0.13 | 87.6 | |||
QDA | ✓ | 74.04 | 74.04 | 79.3 | 24.9 | 0.21 | 75.1 | ||
✓ | 77.4 | 88.45 | 100 | 18.0 | 0.22 | 82.0 | |||
✓ | 82.65 | 83.15 | 87.9 | 16.3 | 0.17 | 83.7 | |||
QSVM | ✓ | 73.7 | 77.25 | 89.3 | 23.2 | 0.73 | 76.8 | ||
✓ | 81.35 | 89.3 | 99.3 | 15.0 | 0.18 | 85.0 | |||
✓ | 94.45 | 95.8 | 98.6 | 4.7 | 0.05 | 95.3 | |||
LR | ✓ | 68.5 | 68.35 | 73.6 | 30.5 | 0.31 | 69.5 | ||
✓ | 78.5 | 88.9 | 100 | 17.2 | 0.21 | 82.8 | |||
✓ | 93.4 | 94.65 | 97.1 | 5.6 | 0.05 | 94.4 | |||
N-B | ✓ | 69.4 | 69.95 | 78.6 | 28.8 | 0.30 | 71.2 | ||
✓ | 76.7 | 76.7 | 81.4 | 22.3 | 0.22 | 77.7 | |||
✓ | 86.0 | 89.05 | 95.7 | 12.0 | 0.13 | 88.0 | |||
W-KNN | ✓ | 74.04 | 77.9 | 90.0 | 22.7 | 0.21 | 77.3 | ||
✓ | 80.8 | 87.15 | 97.1 | 15.9 | 0.17 | 84.1 | |||
✓ | 88.55 | 92.3 | 98.6 | 9.4 | 0.11 | 90.6 | |||
EBT | ✓ | 71.35 | 71.8 | 79.3 | 27.0 | 0.23 | 73.0 | ||
✓ | 80.8 | 83.8 | 92.9 | 17.2 | 0.17 | 82.8 | |||
✓ | 90.5 | 91.55 | 95.0 | 8.6 | 0.09 | 91.4 | |||
ESD | ✓ | 69.95 | 71.6 | 82.9 | 27.5 | 0.30 | 72.5 | ||
✓ | 60.2 | 74.5 | 85.0 | 24.9 | 0.27 | 75.1 | |||
✓ | 83.9 | 86.5 | 93.6 | 14.2 | 0.15 | 85.8 | |||
Cubic KNN | ✓ | 71.7 | 74.4 | 86.4 | 25.3 | 0.23 | 74.7 | ||
✓ | 80.15 | 87.4 | 97.9 | 16.3 | 0.19 | 83.7 | |||
✓ | 85.5 | 90.2 | 97.9 | 12.0 | 0.14 | 88.0 | |||
Proposed | ✓ | 73.65 | 78.5 | 91.4 | 22.7 | 0.22 | 77.3 | ||
✓ | 82.6 | 87.55 | 96.4 | 14.6 | 0.15 | 85.4 | |||
✓ | 95.2 | 95.85 | 97.9 | 4.3 | 0.04 | 95.7 | |||