Table 10.
The Friedman test ranking results for the proposed framework and other deep learning algorithms for Kaggle dataset using various performance metrics.
| Metric | GA | DE | PSO | GSK | MobileNet | VGGNet19 | ResNet50 | DenseNet12 | DNE-RL |
|---|---|---|---|---|---|---|---|---|---|
| ACC | 8 | 9 | 7 | 6 | 5 | 4 | 2 | 3 | 1 |
| Precision | 8 | 9 | 7 | 6 | 5 | 4 | 2 | 3 | 1 |
| Recall | 8 | 9 | 5 | 7 | 6 | 4 | 2 | 3 | 1 |
| F-measure | 8 | 9 | 7 | 6 | 5 | 4 | 2 | 3 | 1 |
| AUC | 8 | 9 | 7 | 5 | 4 | 6 | 2 | 3 | 1 |
| Summation | 40 | 45 | 33 | 30 | 25 | 22 | 10 | 15 | 5 |
| Average | 8 | 9 | 6.6 | 6 | 5 | 4.4 | 2 | 3 | 1 |
| Final Ranking | 8 | 9 | 7 | 6 | 5 | 4 | 2 | 3 | 1 |