Discussion on the application of machine learning in financial loan default prediction
In order to achieve more refined customer analysis,based on the financial loan data published by Alibaba Cloud big data platform,this paper discusses and compares the performance of different machine learning models in the accuracy and stability of financial loan default prediction,so as to provide an idea for selecting models.Finally,the advantages and disadvantages of en-semble learning algorithms are summarized,and the future research directions are prospected,looking forward to improving the se-curity and reliability of machine learning models through research and exploration.
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