Table 6 Optimized hyperparameter values of ML classifiers on the dataset.
From: Detection of kidney bean leaf spot disease based on a hybrid deep learning model
Feature extraction models | Classifier | Optimized parameters | |||
|---|---|---|---|---|---|
| Â | Â | M | p | ||
VGG16 | LR | 76 | None | ||
Resnet50 | LR | 100 | None | ||
MobileV3 | LR | 79 | None | ||
EfNet-B7 | LR | 96 | None | ||
Feature extraction models | Classifier | Optimized parameters | |||
|---|---|---|---|---|---|
| Â | Â | \(\gamma \) | \(d\) | \(\zeta \) | |
VGG16 | RF | 211 | 17 | Gini | |
Resnet50 | Â | 100 | 12 | Entropy | |
MobileV3 | Â | 141 | 18 | Entropy | |
EfNet-B7 | Â | 443 | 45 | Entropy | |
Feature extraction models | Classifier | Optimized parameters | Â | Â | Â |
|---|---|---|---|---|---|
| Â | Â | \(\gamma \) | \(d\) | \(l\) | \(\zeta \) |
VGG16 | ADB | 443 | 3 | 0.0641 | Gini |
Resnet50 | ADB | 624 | 2 | 0.0356 | Entropy |
MobileV3 | ADB | 987 | 1 | 0.0426 | Entropy |
EfNet-B7 | ADB | 433 | 2 | 0.0642 | Entropy |
Feature extraction models | Classifier | Optimized parameters | Â | Â | Â |
|---|---|---|---|---|---|
| Â | Â | \(\gamma \) | \(d\) | \(l\) | \(\lambda \) |
VGG16 | SGB | 803 | 4 | 0.0519 | 0.2352 |
Resnet50 | SGB | 208 | 12 | 0.0814 | 0.9231 |
MobileV3 | SGB | 786 | 3 | 0.0651 | 0.5322 |
EfNet-B7 | SGB | 735 | 12 | 0.09655 | 0.154 |
