Research Article
Hybrid Gradient Descent Grey Wolf Optimizer for Optimal Feature Selection
Table 14
Average, maximum, and minimum metrics achieved for HGDGWO3, BGWOPSO, BGWO1, and BGWO2 on the Lymphography dataset.
| | Lymphography | Average | Maximum | Minimum | BGWO1 | BGWO2 | BGWOPSO | HGDGWO | BGWO1 | BGWO2 | BGWOPSO | HGDGWO | BGWO1 | BGWO2 | BGWOPSO | HGDGWO |
| Accuracy | 0.5861 | 0.5299 | 0.5165 | 0.5513 | 0.6889 | 0.5581 | 0.5833 | 0.6098 | 0.4878 | 0.4889 | 0.4545 | 0.4222 | -measure | 0.6672 | 0.5808 | 0.5861 | 0.6324 | 0.7667 | 0.6275 | 0.6296 | 0.7143 | 0.5714 | 0.549 | 0.52 | 0.5 | Fitness values | 0.4751 | 0.4499 | 0.4759 | 0.1832 | 0.5365 | 0.5077 | 0.533 | 0.2862 | 0.4149 | 0.3926 | 0.417 | 0.0763 | Number of features | 8.9 | 4.8 | 6.2 | 9.7 | 10 | 8 | 9 | 13 | 8 | 3 | 4 | 6 | Precision | 0.7017 | 0.696 | 0.6628 | 0.6776 | 0.8824 | 0.875 | 0.875 | 0.8824 | 0.5 | 0.5 | 0.4815 | 0.5185 | Sensitivity | 0.6775 | 0.5536 | 0.5653 | 0.6444 | 0.85 | 0.7273 | 0.7143 | 0.8571 | 0.4545 | 0.4118 | 0.4375 | 0.3824 |
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