Evaluates machine learning algorithms for loan approval, indicating improved efficiency.
Manual loan evaluation within the contemporary banking sector is an increasingly tedious and time-consuming process, frequently prone to human error, inconsistencies, and high operational costs. While automated systems have been introduced to improve efficiency, a significant research gap exists because many current machine learning models function as
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E et al. (2026) studied this question.
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