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Business Analytics using Random Forest Trees for Credit Risk Prediction: A Comparison Study

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References

2018What's In A Name? Malay Seals As Onomastic Sources1,483 cited
2010Neural networks for credit risk evaluation: Investigation of different neural models and learning schemes236 cited
2005Two-stage genetic programming (2SGP) for the credit scoring model163 cited
2008Random Survival Forests Models for SME Credit Risk Measurement115 cited

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2020Business Analytics in Telemarketing: Cost-Sensitive Analysis of Bank Campaigns Using Artificial Neural Networks51 cited
2022Exploitation of Machine Learning Algorithms for Detecting Financial Crimes Based on Customers’ Behavior40 cited
2024Leveraging network topology for credit risk assessment in P2P lending: A comparative study under the lens of machine learning32 cited
2018Predicting Bank Financial Failures using Random Forest25 cited
2021A survey of machine learning in credit risk24 cited
2022Environmental Compliance and Financial Performance of Shariah-Compliant Enterprises – a Data-Driven Analysis20 cited

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