Table 6 Classification results of MSCNN at different scales.
From: Birdsong classification based on ensemble multi-scale convolutional neural network
Model | Accuracy (%) | Precision (%) | Recall (%) | F1-score (%) |
|---|---|---|---|---|
CNN-S22 | 86.94 | 86.97 | 85.73 | 86.17 |
CNN-S23 | 89.26 | 89.00 | 88.23 | 88.60 |
CNN-S32 | 88.24 | 89.00 | 88.23 | 88.60 |
CNN-S33 | 89.46 | 88.93 | 88.37 | 88.43 |
CNN-S55 | 89.46 | 89.50 | 88.50 | 88.83 |
MSCNN | 89.61 | 89.53 | 88.90 | 88.90 |
