Table 7 The results of each model on a real dataset.
From: A skin disease classification model based on multi scale combined efficient channel attention module
Accuracy | Precision | Recall | Macro_f1 | |
|---|---|---|---|---|
BoTNet | 0.702 | 0.750 | 0.636 | 0.504 |
MobileViT_v3 | 0.710 | 0.653 | 0.465 | 0.522 |
MobileNet_v3 | 0.733 | 0.760 | 0.511 | 0.583 |
GhostNet_v2 | 0.757 | 0.755 | 0.565 | 0.623 |
EPSANet | 0.756 | 0.736 | 0.570 | 0.621 |
Ours | 0.777 | 0.745 | 0.598 | 0.648 |
