Table 11 Recognition results on UIUC dataset
Method | Algorithm | Measures | ||||
|---|---|---|---|---|---|---|
FS | WFS | PPV (%) | AUC | FNR (%) | RR (%) | |
W-KNN | ✓ | 98.18 | 0.999 | 2.10 | 97.90 | |
✓ | 83.62 | 0.980 | 14.6 | 85.40 | ||
SDA | ✓ | 93.20 | 0.980 | 5.3 | 94.70 | |
✓ | 85.25 | 0.965 | 14.9 | 85.10 | ||
LR | ✓ | 95.43 | 0.990 | 2.3 | 97.70 | |
✓ | 83.98 | 0.981 | 16.0 | 84.0 | ||
M-class SVM | ✓ | 98.6 | 0.994 | 1.0 | 99.0 | |
✓ | 96.1 | 0.990 | 2.1 | 97.90 | ||