Research Article
Acoustic Scene Classification and Visualization of Beehive Sounds Using Machine Learning Algorithms and Grad-CAM
Table 4
Detailed classification performance by class using MFCCs.
| | Model | Class | Precision | Recall | F1-score |
| | SVM | Bee | 0.99 | 0.85 | 0.92 | | noBee | 0.29 | 0.91 | 0.44 |
| | Random Forest | Bee | 0.98 | 0.88 | 0.93 | | noBee | 0.47 | 0.88 | 0.61 |
| | XGBoost | Bee | 0.98 | 0.90 | 0.94 | | noBee | 0.54 | 0.90 | 0.67 |
| | Shallow CNN | Bee | 0.99 | 0.90 | 0.94 | | noBee | 0.56 | 0.93 | 0.70 |
| | VGG-13 | Bee | 0.99 | 0.94 | 0.96 | | noBee | 0.73 | 0.85 | 0.79 |
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