Table 10 Proposed features fusion and feature selection results on ISIC-UDA dataset
Method | Measures | Â | Â | |||
|---|---|---|---|---|---|---|
| Â | Sensitivity | Precision | Specificity | FNR | FPR | Accuracy |
DT | 87.25 | 90.65 | 97.1 | 10.7 | 0.12 | 89.3 |
QDA | 79.75 | 88.60 | 99.3 | 16.3 | 0.19 | 83.7 |
QSVM | 98.05 | 98.40 | 99.3 | 1.7 | 0.02 | 98.3 |
LR | 94.8 | 96.35 | 99.3 | 4.3 | 0.04 | 95.7 |
N-B | 88.5 | 91.00 | 96.4 | 9.9 | 0.10 | 90.1 |
W-KNN | 83.85 | 91.20 | 100 | 12.9 | 0.16 | 87.1 |
EBT | 95.2 | 95.85 | 97.9 | 4.3 | 0.4 | 95.7 |
E-S-D | 89.6 | 89.75 | 92.1 | 9.9 | 0.09 | 90.1 |
L-KNN | 81.7 | 90.25 | 100 | 14.6 | 0.18 | 85.4 |
Proposed | 97.85 | 98.60 | 100 | 1.7 | 0.02 | 98.3 |