Research Article
Hybrid Gradient Descent Grey Wolf Optimizer for Optimal Feature Selection
Table 12
Average, maximum, and minimum metrics achieved for HGDGWO3, BGWOPSO, BGWO1, and BGWO2 on the SPECT Heart dataset.
| | SPECT Heart | Average | Maximum | Minimum | BGWO1 | BGWO2 | BGWOPSO | HGDGWO | BGWO1 | BGWO2 | BGWOPSO | HGDGWO | BGWO1 | BGWO2 | BGWOPSO | HGDGWO |
| Accuracy | 0.6918 | 0.7211 | 0.6979 | 0.7066 | 0.8889 | 0.8889 | 0.8889 | 0.8889 | 0.5185 | 0.5 | 0.4231 | 0.5 | -measure | 0.7524 | 0.7775 | 0.7605 | 0.7642 | 0.9143 | 0.9143 | 0.9143 | 0.9091 | 0.6061 | 0.6 | 0.5455 | 0.6061 | Fitness values | 0.2579 | 0.2292 | 0.2593 | 0.2483 | 0.2916 | 0.2515 | 0.3685 | 0.2801 | 0.2247 | 0.2086 | 0.1943 | 0.2244 | Number of features | 10.98 | 3.7 | 12.6 | 6.28 | 16 | 8 | 18 | 11 | 5 | 2 | 9 | 3 | Precision | 0.7181 | 0.7336 | 0.7154 | 0.7277 | 0.9333 | 0.8421 | 0.9333 | 0.8824 | 0.5714 | 0.5556 | 0.5 | 0.5556 | Sensitivity | 0.8006 | 0.831 | 0.8197 | 0.8119 | 1 | 1 | 1 | 0.9375 | 0.5625 | 0.6 | 0.6 | 0.625 |
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