Research Article
Hybrid Gradient Descent Grey Wolf Optimizer for Optimal Feature Selection
Table 4
Results for HGDGWO (binary version) implementation 1.
| | Accuracy | -measure | Fitness values | No. of features | Precision | Sensitivity |
| Breast Cancer Wisconsin (Original) | JBGWO2 | 0.9401 | 0.9538 | 0.0615 | 2.16 | 0.9641 | 0.9448 | HGDGWO | 0.9442 | 0.9571 | 0.064 | 2.28 | 0.9642 | 0.9514 |
| Statlog (Heart) | JBGWO2 | 0.7889 | 0.8098 | 0.1688 | 3.62 | 0.8078 | 0.824 | HGDGWO | 0.7904 | 0.8125 | 0.1805 | 3.98 | 0.8109 | 0.828 |
| SPECT Heart | JBGWO2 | 0.7161 | 0.7707 | 0.2304 | 3.94 | 0.7322 | 0.8213 | HGDGWO | 0.7017 | 0.7608 | 0.2532 | 6.38 | 0.7196 | 0.8112 |
| Breast Cancer Wisconsin (Diagnostic) | JBGWO2 | 0.9361 | 0.9495 | 0.0552 | 2.12 | 0.9401 | 0.9602 | HGDGWO | 0.9596 | 0.9681 | 0.0745 | 7.66 | 0.9618 | 0.9753 |
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