Abstract
Lenders receive loans from investors in the lending industry with the intention of returning interest. Credit is required and helps banks decide whether to provide a loan to a person or not by forecasting the risk that they would default on their debt. The money and time risk associated with selecting a safe individual has been reduced. This is accomplished by exploring Big Data for historical data of the borrowers, after which the system is trained using the machine learning model that generates the most precise result.
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Gupta, N. et al. (2023). Prediction of Loan Approval of Customers Based on Credit Score Using Machine Learning. In: Murthy, B.K., Reddy, B.V.R., Hasteer, N., Van Belle, JP. (eds) Decision Intelligence. InCITe 2023. Lecture Notes in Electrical Engineering, vol 1079. Springer, Singapore. https://doi.org/10.1007/978-981-99-5997-6_5
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DOI: https://doi.org/10.1007/978-981-99-5997-6_5
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