Table 7.
Classification results using the feature fusion of DE and BGWO using ultrasound images, where the training/testing ratio is 50:50.
| Classifier | Sensitivity (%) | Precision (%) | F1 Score (%) | Accuracy (%) | FNR (%) | Classification Time (s) |
|---|---|---|---|---|---|---|
| CSVM | 99.06 | 99.06 | 99.06 | 99.18 | 0.94 | 13.599 |
| MGSVM | 99.10 | 99.10 | 99.10 | 99.16 | 0.9 | 15.659 |
| QSVM | 98.96 | 98.96 | 98.96 | 99.30 | 1.04 | 17.601 |
| ESD | 98.76 | 98.80 | 98.78 | 98.90 | 1.24 | 26.240 |
| LSVM | 98.93 | 98.90 | 98.91 | 99.00 | 1.07 | 19.185 |
| ESKNN | 98.56 | 98.60 | 98.58 | 98.90 | 1.44 | 22.425 |
| FKNN | 98.36 | 98.36 | 98.36 | 98.74 | 1.64 | 24.508 |
| LD | 98.40 | 98.40 | 98.40 | 98.40 | 1.60 | 21.045 |
| CGSVM | 98.20 | 98.20 | 98.20 | 98.30 | 1.80 | 20.627 |
| WKNN | 97.46 | 97.53 | 97.49 | 98.10 | 2.54 | 18.734 |