Table 4 Class-wise performance metrics of the proposed hybrid model. The highest accuracy and MCC scores are highlighted in bold and the lowest scores are underlined
From: Potato plant disease detection: leveraging hybrid deep learning models
Class | Accuracy (%) | Precision (%) | Recall (%) | F1 score (%) | MCC |
|---|---|---|---|---|---|
Bacteria | 93.42 | 93.42 | 93.42 | 93.42 | 0.91 |
Fungi | 84.42 | 73.86 | 84.42 | 78.79 | 0.71 |
Nematode | 83.33 | 83.33 | 83.33 | 83.33 | 0.83 |
Pest | 60.66 | 72.55 | 60.66 | 66.07 | 0.59 |
Phytopthora | 73.91 | 65.38 | 73.91 | 69.39 | 0.67 |
Virus | 82.98 | 84.78 | 82.98 | 83.87 | 0.81 |
Healthy | 72.22 | 86.67 | 72.22 | 78.79 | 0.78 |