ENHANCING LOAN APPROVAL DECISION-MAKING: AN INTERPRETABLE MACHINE LEARNING APPROACH USING LIGHTGBM FOR DIGITAL ECONOMY DEVELOPMENT

ENHANCING LOAN APPROVAL DECISION-MAKING: AN INTERPRETABLE MACHINE LEARNING APPROACH USING LIGHTGBM FOR DIGITAL ECONOMY DEVELOPMENT

This study aims to enhance loan approval decision-making in the digital economy using an interpretable machine learning approach. The primary research question investigates how integrating an interpretable machine learning approach can improve the accuracy and transparency of loan approval processes...

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Bibliographic Details
Main Authors: Teuku Rizky Noviandy, Ghalieb Mutig Idroes, Irsan Hardi
Format: Article
Language:English
Published: UiTM Press 2024-04-01
Series:Malaysian Journal of Computing
Subjects:
artificial intelligence
light gradient boosting machine
machine learning
Online Access:https://mjoc.uitm.edu.my/main/images/journal/vol9-1-2024/6_ENHANCING_LOAN_APPROVAL_DECISION-MAKING_AN_INTERPRETABLE_MACHINE_LEARNING_APPROACH_USING_LIGHTGBM_FOR_DIGITAL_ECONOMY_DEVELOPMENT.pdf

Internet

https://mjoc.uitm.edu.my/main/images/journal/vol9-1-2024/6_ENHANCING_LOAN_APPROVAL_DECISION-MAKING_AN_INTERPRETABLE_MACHINE_LEARNING_APPROACH_USING_LIGHTGBM_FOR_DIGITAL_ECONOMY_DEVELOPMENT.pdf

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