Table 6 Hyperparameters used.
Model / Module | Learning Rate | Batch Size | Epochs / Iterations | Optimizer / Solver |
---|---|---|---|---|
DenseNet121 | 0.001 | 32 | 50 | Adam |
ResNet50 | 0.001 | 32 | 50 | Adam |
EfficientNetB0 | 0.0005 | 32 | 60 | Adam |
XGBoost | 0.1 | 128 | 200 | Tree Booster |
ViT-B/16 | 0.0001 | 16 | 40 | AdamW |
Swin Transformer | 0.0002 | 16 | 40 | AdamW |
Multiclass SVM | N/A | 128 | Grid Search | RBF Kernel |
GradCAM++ | N/A | N/A | Backprop Layer Guided | Gradient-based Visualization |
LIME | N/A | N/A | Perturbation-Based | Local Ridge Surrogate |