Research Article
Hybrid Gradient Descent Grey Wolf Optimizer for Optimal Feature Selection
Table 10
Average, maximum, and minimum metrics achieved for HGDGWO3, BGWOPSO, BGWO1, and BGWO2 on the Breast Cancer Wisconsin (Original) dataset.
| | Breast Cancer Wisconsin (Original) | Average | Maximum | Minimum | BGWO1 | BGWO2 | BGWOPSO | HGDGWO | BGWO1 | BGWO2 | BGWOPSO | HGDGWO | BGWO1 | BGWO2 | BGWOPSO | HGDGWO |
| Accuracy | 0.945 | 0.9399 | 0.9602 | 0.9379 | 0.9857 | 0.9857 | 1 | 1 | 0.8286 | 0.8286 | 0.913 | 0.8286 | -measure | 0.9574 | 0.9541 | 0.9692 | 0.9522 | 0.989 | 0.989 | 1 | 1 | 0.8636 | 0.8636 | 0.9302 | 0.8636 | Fitness values | 0.0654 | 0.0616 | 0.0362 | 0.0639 | 0.0806 | 0.068 | 0.0538 | 0.068 | 0.0551 | 0.0551 | 0.0233 | 0.058 | Number of features | 2.62 | 2.18 | 5.46 | 2.14 | 4 | 3 | 8 | 3 | 2 | 2 | 3 | 2 | Precision | 0.9671 | 0.9553 | 0.9785 | 0.9556 | 1 | 1 | 1 | 1 | 0.9 | 0.8824 | 0.9 | 0.9 | Sensitivity | 0.949 | 0.9542 | 0.9611 | 0.9499 | 1 | 1 | 1 | 1 | 0.8261 | 0.8261 | 0.8889 | 0.8261 |
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