Author

Mengru Zhao

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Aug 2026

Highly class-imbalanced dynamic financial distress prediction based on Bagging-XGBoost

The results indicate that the dynamic Bagging-XGBoost FDP model developed on the balanced training set constructed by random under-sampling achieves a high true positive rate (TPrate) of 97.35% for distressed enterprises, suggesting that the combination of Bagging and Boosting can enhance the performance of FDP models.

Mengru Zhao, Jie Sun, Nengfei Li et al. · Risk Management · 0 citations