Research Article
[Retracted] Railway Traffic Emergency Management Relying on Image Recognition Technology in the Context of Big Data
Table 4
Accuracy training results.
| Method | Level | Accuracy | Recall rate | F1 value |
| ADASYN + BiGRU | First-level fault classification | 0.8726 | 0.8819 | 0.8773 | Secondary fault classification | 0.7826 | 0.7431 | 0.7689 |
| ADASYN + BiLSTM | First-level fault classification | 0.8622 | 0.8759 | 0.8619 | Secondary fault classification | 0.7624 | 0.7538 | 0.7519 |
| BiGRU | First-level fault classification | 0.7336 | 0.7094 | 0.7245 | Secondary fault classification | 0.7083 | 0.6722 | 0.6893 |
| BiLSTM | First-level fault classification | 0.6932 | 0.7122 | 0.7011 | Secondary fault classification | 0.6314 | 0.6235 | 0.6287 |
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