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Tabular Foundation Models for Credit Risk Prediction: A Dedicated Review and Empirical Comparison

Baesens, Bart et al.
arXiv (All) · Papers
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machine-learning
Predictive models are central to credit risk management, where the accuracy of default-probability and loss estimates affects the profitability of lending and the stability of the financial system. Decades of benchmarking research have consolidated the state of the art, with gradient-boosting models
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