Table 7 Performance comparison of deep learning models.
From: Enhancing fault detection in new energy vehicles via novel ensemble approach
Method | Accuracy | Target Class | Precision | Recall | F1 score |
|---|---|---|---|---|---|
GRU | 0.98 | 0 | 1.00 | 1.00 | 1.00 |
1 | 1.00 | 1.00 | 1.00 | ||
2 | 0.95 | 0.97 | 1.00 | ||
3 | 0.98 | 0.95 | 0.96 | ||
Average | 0.98 | 0.98 | 0.98 | ||
CNN | 0.97 | 0 | 0.99 | 1.00 | 0.99 |
1 | 0.99 | 0.98 | 0.99 | ||
2 | 0.93 | 0.99 | 0.96 | ||
3 | 0.98 | 0.91 | 0.94 | ||
Average | 0.97 | 0.97 | 0.97 | ||
ANN | 0.28 | 0 | 0.96 | 0.22 | 0.36 |
1 | 0.20 | 0.98 | 0.34 | ||
2 | 0.00 | 0.00 | 0.00 | ||
3 | 0.00 | 0.00 | 0.00 | ||
Average | 0.47 | 0.28 | 0.22 |
