Web: http://arxiv.org/abs/2209.10070

Sept. 22, 2022, 1:11 a.m. | Dangxing Chen, Weicheng Ye

cs.LG updates on arXiv.org arxiv.org

The forecasting of credit default risk has been an active research field for
several decades. Historically, logistic regression has been used as a major
tool due to its compliance with regulatory requirements: transparency,
explainability, and fairness. In recent years, researchers have increasingly
used complex and advanced machine learning methods to improve prediction
accuracy. Even though a machine learning method could potentially improve the
model accuracy, it complicates simple logistic regression, deteriorates
explainability, and often violates fairness. In the absence of …

arxiv credit machine machine learning machine learning models scoring

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