Table 17 Comparative analysis of the proposed DE against other basic and metaheuristic algorithms on the LFW dataset.
Model | Accuracy | F-measure | G-means | AUC |
|---|---|---|---|---|
Random search | 69.214 ± 0.049 | 71.389 ± 0.052 | 72.119 ± 0.081 | 0.665 ± 0.061 |
Grid search | 70.767 ± 0.045 | 72.396 ± 0.066 | 73.158 ± 0.038 | 0.672 ± 0.001 |
Hyperband | 76.507 ± 0.004 | 78.865 ± 0.009 | 79.618 ± 0.008 | 0.681 ± 0.084 |
BO | 81.400 ± 0.010 | 83.935 ± 0.010 | 84.716 ± 0.013 | 0.792 ± 0.020 |
SSA | 74.546 ± 0.091 | 80.403 ± 0.074 | 81.019 ± 0.038 | 0.722 ± 0.052 |
HMS | 75.851 ± 0.003 | 81.628 ± 0.006 | 82.178 ± 0.095 | 0.731 ± 0.089 |
COA | 77.299 ± 0.007 | 83.101 ± 0.074 | 83.628 ± 0.021 | 0.746 ± 0.075 |
FA | 78.137 ± 0.095 | 84.180 ± 0.003 | 84.690 ± 0.096 | 0.763 ± 0.098 |
BA | 79.575 ± 0.008 | 85.533 ± 0.026 | 86.056 ± 0.089 | 0.780 ± 0.041 |
ABC | 81.243 ± 0.056 | 86.489 ± 0.090 | 87.046 ± 0.014 | 0.789 ± 0.002 |
DE | 82.324 ± 0.083 | 88.023 ± 0.054 | 88.542 ± 0.080 | 0.800 ± 0.039 |
Proposed DE | 89.141 ± 0.022 | 91.152 ± 0.042 | 92.718 ± 0.074 | 0.845 ± 0.045 |
