Research Article
Hybrid Gradient Descent Grey Wolf Optimizer for Optimal Feature Selection
Table 9
Average, maximum, and minimum metrics achieved for HGDGWO3, BGWOPSO, BGWO1, and BGWO2 on the Breast Cancer Wisconsin (Diagnostic) dataset.
| | Breast Cancer Wisconsin (Diagnostic) | Average | Maximum | Minimum | BGWO1 | BGWO2 | BGWOPSO | HGDGWO | BGWO1 | BGWO2 | BGWOPSO | HGDGWO | BGWO1 | BGWO2 | BGWOPSO | HGDGWO |
| Accuracy | 0.962 | 0.9375 | 0.9684 | 0.9533 | 1 | 0.9825 | 1 | 1 | 0.9123 | 0.8421 | 0.8947 | 0.8772 | -measure | 0.9699 | 0.9511 | 0.9751 | 0.9631 | 1 | 0.9863 | 1 | 1 | 0.9315 | 0.8831 | 0.9167 | 0.9041 | Fitness values | 0.0911 | 0.0573 | 0.0658 | 0.07 | 0.1084 | 0.0766 | 0.0986 | 0.087 | 0.0771 | 0.0471 | 0.0314 | 0.0555 | Number of features | 11.72 | 2.14 | 11.98 | 5.96 | 16 | 4 | 18 | 9 | 9 | 2 | 7 | 3 | Precision | 0.9636 | 0.9369 | 0.97 | 0.9568 | 1 | 1 | 1 | 1 | 0.8974 | 0.8095 | 0.9 | 0.85 | Sensitivity | 0.977 | 0.9676 | 0.9809 | 0.9704 | 1 | 1 | 1 | 1 | 0.9143 | 0.8857 | 0.9167 | 0.8889 |
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