首页|基于逻辑回归的个人信用评分卡模型研究

基于逻辑回归的个人信用评分卡模型研究

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构建有效的个人信用风险评价系统,用以应对潜在的个人信贷风险,这对金融行业和社会公众皆有重要的现实意义。文章首先对数据进行清洗、预处理,然后通过WOE编码分箱、IV值进行变量筛选,构建了逻辑回归模型并基于逻辑回归模型建立了个人信用评分卡模型,该模型可辅助决策者制定合理的授信政策、定价策略以及其他相关业务运营策略。
Research on Personal Credit Score Card Model Based on Logistic Regression
Building an effective personal credit risk assessment system to address potential personal credit risks is of great practical significance for the financial industry and the general public.This paper first cleans and preprocesses the data,and then uses WOE coding and binning and IV values for variable screening.A logistic regression model is constructed,and a personal credit score card model is established based on the logistic regression model.This model can assist decision-makers in formulating reasonable credit policies,pricing strategies,and other related business operation strategies.

personal credit evaluationscore cardAUC

张俊丽、郭双颜、任翠萍、马倩

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西安欧亚学院,陕西 西安 710065

交通银行陕西省分行,陕西 西安 710004

个人信用评估 评分卡 AUC

陕西省教育科学规划课题(十三五)(2020)西安欧亚学院校级项目(2022)

SGH20Y14802022GCPY01

2024

现代信息科技
广东省电子学会

现代信息科技

ISSN:2096-4706
年,卷(期):2024.8(5)
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