Research Article
Research on Multilevel Classification of High-Speed Railway Signal Equipment Fault Based on Text Mining
Table 7
Experimental results of ensemble learning model classification.
| Method | Level | Accuracy | Recall | F1 value |
| RF | First-level classification | 0.8516 | 0.8419 | 0.8467 | Second-level classification | 0.7526 | 0.7012 | 0.7568 |
| GBDT | First-level classification | 0.8598 | 0.8316 | 0.8455 | Second-level classification | 0.7614 | 0.7278 | 0.7545 |
| Stacking + multitask cooperative voting decision tree | First-level classification | 0.8924 | 0.8561 | 0.8738 | Second-level classification | 0.8152 | 0.7446 | 0.7783 |
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