Research Article
Hybrid Gradient Descent Grey Wolf Optimizer for Optimal Feature Selection
Table 11
Average, maximum, and minimum metrics achieved for HGDGWO3, BGWOPSO, BGWO1, and BGWO2 on the Statlog (Heart) dataset.
| | Statlog (Heart) | Average | Maximum | Minimum | BGWO1 | BGWO2 | BGWOPSO | HGDGWO | BGWO1 | BGWO2 | BGWOPSO | HGDGWO | BGWO1 | BGWO2 | BGWOPSO | HGDGWO |
| Accuracy | 0.7815 | 0.7948 | 0.8 | 0.8067 | 0.9259 | 0.963 | 0.963 | 0.9259 | 0.6296 | 0.5556 | 0.7037 | 0.5556 | -measure | 0.8043 | 0.8195 | 0.8218 | 0.8327 | 0.9333 | 0.9677 | 0.9677 | 0.9375 | 0.64 | 0.5714 | 0.7407 | 0.6 | Fitness values | 0.2068 | 0.169 | 0.1942 | 0.1765 | 0.3017 | 0.2598 | 0.2909 | 0.1974 | 0.1567 | 0.153 | 0.1271 | 0.1567 | Number of features | 6.02 | 3.64 | 6.24 | 3.9 | 8 | 4 | 9 | 6 | 4 | 2 | 4 | 3 | Precision | 0.8019 | 0.8023 | 0.8213 | 0.811 | 1 | 0.9375 | 1 | 0.9333 | 0.6667 | 0.6 | 0.6842 | 0.6 | Sensitivity | 0.8133 | 0.8413 | 0.8347 | 0.8613 | 1 | 1 | 1 | 1 | 0.5333 | 0.5333 | 0.6667 | 0.6 |
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