Table 16 Comparative analysis of the proposed DE against other basic and metaheuristic optimization algorithms on the CelebA dataset.
Model | Accuracy | F-measure | G-means | AUC |
|---|---|---|---|---|
Random search | 67.511 ± 0.052 | 69.202 ± 0.046 | 70.929 ± 0.018 | 0.658 ± 0.066 |
Grid search | 69.263 ± 0.095 | 71.753 ± 0.024 | 72.458 ± 0.026 | 0.662 ± 0.025 |
Hyperband | 74.050 ± 0.037 | 76.855 ± 0.057 | 77.567 ± 0.036 | 0.672 ± 0.046 |
BO | 80.869 ± 0.099 | 81.703 ± 0.086 | 82.412 ± 0.074 | 0.783 ± 0.023 |
SSA | 72.314 ± 0.015 | 77.739 ± 0.079 | 78.428 ± 0.069 | 0.709 ± 0.059 |
HMS | 73.476 ± 0.055 | 78.699 ± 0.085 | 79.397 ± 0.029 | 0.720 ± 0.029 |
COA | 75.264 ± 0.042 | 80.000 ± 0.001 | 80.663 ± 0.099 | 0.736 ± 0.071 |
FA | 76.976 ± 0.095 | 81.403 ± 0.043 | 82.091 ± 0.023 | 0.750 ± 0.075 |
BA | 78.433 ± 0.024 | 82.610 ± 0.034 | 83.300 ± 0.075 | 0.756 ± 0.060 |
ABC | 79.126 ± 0.049 | 83.604 ± 0.003 | 84.290 ± 0.011 | 0.771 ± 0.088 |
DE | 80.147 ± 0.089 | 84.885 ± 0.053 | 85.585 ± 0.001 | 0.782 ± 0.023 |
Proposed DE | 87.951 ± 0.096 | 89.409 ± 0.087 | 90.193 ± 0.030 | 0.829 ± 0.073 |
