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Retrieved on: 2024-05-30 20:51:34
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Summary
The article describes the use of machine learning in credit scoring, focusing on how it enhances traditional models by analyzing extensive data to improve predictions of a borrower's creditworthiness. This aligns with tags like 'Predictive analytics' and 'Credit scorecards', and involves data processes like 'Training, validation, and test data sets', all critical for improving 'Personal finance' decisions.
Article found on: www.bbntimes.com
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