Table 9.
The Friedman test ranking results for the proposed framework and other deep learning algorithms for Mendely dataset using various performance metrics.
Metric | GA | DE | PSO | GSK | MobileNet | VGGNet19 | ResNet50 | DenseNet12 | DNE-RL |
---|---|---|---|---|---|---|---|---|---|
ACC | 9 | 8 | 7 | 5 | 4 | 6 | 3 | 2 | 1 |
Precision | 8 | 9 | 7 | 6 | 4 | 5 | 3 | 2 | 1 |
Recall | 8 | 9 | 7 | 3 | 5 | 6 | 4 | 2 | 1 |
F-measure | 9 | 8 | 7 | 5 | 4 | 6 | 3 | 2 | 1 |
AUC | 8 | 9 | 7 | 5 | 4 | 6 | 3 | 2 | 1 |
Summation | 42 | 43 | 35 | 24 | 21 | 29 | 16 | 10 | 5 |
Average | 8.4 | 8.6 | 7 | 4.8 | 4.2 | 5.8 | 3.2 | 2 | 1 |
Final Ranking | 8 | 9 | 7 | 5 | 4 | 6 | 3 | 2 | 1 |