Table 4 Presents a comparison of various machine learning models.
From: An automated hybrid deep learning framework for paddy leaf disease identification and classification
ML Classifiers | Accuracy | Precision | Recall | F1-score |
|---|---|---|---|---|
SVM | 86.72 | 83.15 | 87.07 | 86.04 |
Random Forest | 80.71 | 81.01 | 76.47 | 79.81 |
XGBoost | 83.31 | 82.93 | 82.93 | 81.93 |
KNN | 81.34 | 84.21 | 81.21 | 80.43 |
Naïve Bayes | 79.24 | 77.47 | 77.47 | 76.12 |
CatBoost | 92.6 | 89.12 | 93.21 | 92.13 |
