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Updated: Jan 9, 2026

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
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基于共识的特征选择,以实现透明和强大的贷款违约预测.

Ghazi Abbas1, Zhou Ying2, Majid Ayoubi3,4

  • 1School of Economics and Management, Dalian University of Technology, Dalian City, 116024, China.

Scientific reports
|December 8, 2025
PubMed
概括

一种新的混合排名聚合特征选择 (HRA-FS) 方法通过结合多种技术来改善贷款违约预测. 这种方法提高了模型的准确性和可解释性,以提高金融稳定性和包容性.

关键词:
功能选择 功能选择可以解释性 解释性贷款违约预测预测 贷款违约预测排名聚合方式 排名聚合方式在XGBoost中使用.

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