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Explainable prediction of loan default based on machine learning models

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References

2017A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring770 cited
2021Predictably Unequal? The Effects of Machine Learning on Credit Markets767 cited
2014Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending495 cited
2021Machine learning models for predicting the residual value of heavy construction equipment: An evaluation of modified decision tree, LightGBM, and XGBoost regression419 cited
2015Risk and Risk Management in the Credit Card Industry260 cited
2017Cost-sensitive boosted tree for loan evaluation in peer-to-peer lending189 cited
2015An empirical comparison of classification algorithms for mortgage default prediction: evidence from a distressed mortgage market114 cited
2019Default prediction in P2P lending from high-dimensional data based on machine learning79 cited

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2025Unlocking the power of machine learning in big data: a scoping survey39 cited
2025Data-Driven Loan Default Prediction: A Machine Learning Approach for Enhancing Business Process Management

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36 cited

2023Loan default predictability with explainable machine learning24 cited

2025Transforming credit risk assessment: A systematic review of AI and machine learning applications17 cited

2024Comparative study on Loan Approval Prediction Utilizing Machine Learning Approaches16 cited

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