Table 5.
Classification results of binary differential evolution selector using ultrasound images, where the training/testing ratio is 50:50.
| Classifier | Sensitivity (%) | Precision (%) | F1 Score (%) | Accuracy (%) | FNR | Classification Time (s) |
|---|---|---|---|---|---|---|
| CSVM | 99.10 | 99.06 | 99.08 | 99.1 | 0.9 | 28.082 |
| MGSVM | 99.13 | 99.13 | 99.13 | 99.1 | 0.87 | 41.781 |
| QSVM | 99.10 | 99.10 | 99.1 | 99.1 | 0.9 | 35.448 |
| ESD | 98.70 | 98.70 | 98.7 | 98.7 | 1.3 | 42.74 |
| LSVM | 98.90 | 98.86 | 98.88 | 98.9 | 1.1 | 33.073 |
| ESKNN | 98.40 | 98.36 | 98.38 | 98.4 | 1.6 | 37.555 |
| FKNN | 98.26 | 98.30 | 98.28 | 98.3 | 1.74 | 35.349 |
| LD | 98.50 | 98.50 | 98.5 | 98.5 | 1.5 | 35.213 |
| CGSVM | 98.43 | 98.43 | 98.43 | 98.4 | 1.57 | 39.686 |
| WKNN | 97.00 | 97.10 | 97.05 | 97.0 | 3.0 | 42.829 |