Table 11.
Ablation study to gauge the impacts of proposed modifications in ETLBOCBL-CNN.
| Dataset | Metric | TLBO-CNN | ETLBOCBL-CNN Variants | |||
|---|---|---|---|---|---|---|
| v1 | v2 | v3 | Complete | |||
| MNIST | Accuracy | 98.54% | 98.66% | 98.74% | 99.01% | 99.72% |
| Complexity | 12.10 M | 10.68 M | 8.94 M | 4.71 M | 3.41 M | |
| MNIST-RD | Accuracy | 94.66% | 96.34% | 96.46% | 96.58% | 96.67% |
| Complexity | 10.10 M | 3.92 M | 2.34 M | 2.19 M | 1.67 M | |
| MNIST-RB | Accuracy | 96.91% | 97.90% | 97.92% | 98.04% | 98.28% |
| Complexity | 7.23 M | 3.85 M | 6.16 M | 5.67 M | 1.47 M | |
| MNIST-BI | Accuracy | 95.53% | 96.34% | 96.37% | 97.10% | 97.22% |
| Complexity | 5.02 M | 2.07 M | 2.45 M | 1.98 M | 1.90 M | |
| MNIST-RD + BI | Accuracy | 77.58% | 78.19% | 82.20% | 82.74% | 83.45% |
| Complexity | 3.71 M | 6.11 M | 4.95 M | 2.22 M | 1.26 M | |
| Rectangles | Accuracy | 99.68% | 99.71% | 99.79% | 99.90% | 99.99% |
| Complexity | 12.60 M | 6.24 M | 11.51 M | 2.76 M | 2.34 M | |
| Rectangles-I | Accuracy | 95.71% | 97.24% | 97.36% | 97.37% | 97.41% |
| Complexity | 6.63 M | 2.02 M | 6.05 M | 3.47 M | 5.51 M | |
| Convex | Accuracy | 95.20% | 97.12% | 97.55% | 97.71% | 98.35% |
| Complexity | 1.54 M | 3.55 M | 2.59 M | 1.51 M | 1.46 M | |
| MNIST-Fashion | Accuracy | 91.89% | 92.91% | 91.99% | 93.12% | 93.70% |
| Complexity | 4.31 M | 3.12 M | 3.44 M | 2.97 M | 0.84 M | |