TABLE 4.
Performance metric of the HVD dataset using different CNN models.
CNN model | AUC | ACC | SEN | SP | PRE | FM | GM |
---|---|---|---|---|---|---|---|
ResNet50 | 0.9703 | 0.8335 | 0.5363 | 0.9019 | 0.5467 | 0.5575 | 0.6955 |
VGG19 | 0.9680 | 0.8206 | 0.5778 | 0.8764 | 0.5466 | 0.5186 | 0.7116 |
AlexNet | 0.9600 | 0.8038 | 0.8553 | 0.8797 | 0.4749 | 0.4757 | 0.6458 |
Dns201 | 0.9642 | 0.8174 | 0.8758 | 0.7920 | 0.6461 | 0.7436 | 0.8329 |
IncRes | 0.9324 | 0.7539 | 0.7109 | 0.7725 | 0.5754 | 0.6306 | 0.7411 |
Fusion | — | 0.8543 | 0.8080 | 0.9214 | 0.8275 | 0.8129 | 0.8628 |
Bold values are showing the model results after applying classifier fusion operation.