Table 4 Fig Leaf – Performace Measures.
From: Advancing plant leaf disease detection integrating machine learning and deep learning
DL Approach | ML Methods | Accuracy | Precision | Recall | F1 | AUC | MCC |
|---|---|---|---|---|---|---|---|
Inception v3 | AdaBoost | 0.772 | 0.772 | 0.772 | 0.772 | 0.767 | 0.532 |
kNN | 0.863 | 0.863 | 0.863 | 0.862 | 0.935 | 0.717 | |
RF | 0.822 | 0.822 | 0.822 | 0.822 | 0.912 | 0.634 | |
SVM | 0.848 | 0.848 | 0.848 | 0.847 | 0.922 | 0.686 | |
DT | 0.79 | 0.789 | 0.79 | 0.79 | 0.723 | 0.567 | |
VGG19 | AdaBoost | 0.776 | 0.776 | 0.776 | 0.776 | 0.77 | 0.54 |
kNN | 0.865 | 0.865 | 0.865 | 0.865 | 0.933 | 0.722 | |
RF | 0.826 | 0.826 | 0.826 | 0.826 | 0.91 | 0.642 | |
SVM | 0.76 | 0.759 | 0.76 | 0.759 | 0.841 | 0.503 | |
DT | 0.781 | 0.78 | 0.781 | 0.78 | 0.732 | 0.547 |