Deep learning based bi-level approach for proactive loan prospecting
作者：
Highlights：
• Lead generation for loans presents a challenging classification problem.
• Existing methods for predicting leads have lacked consideration of loan approval.
• Combining binary classifiers with varying objectives can improve model accuracy.
• Rank-based measures are preferred for evaluating the quality of predicted leads.
• Deep learning models are ideal for lead selection when ranking is considered.
摘要
•Lead generation for loans presents a challenging classification problem.•Existing methods for predicting leads have lacked consideration of loan approval.•Combining binary classifiers with varying objectives can improve model accuracy.•Rank-based measures are preferred for evaluating the quality of predicted leads.•Deep learning models are ideal for lead selection when ranking is considered.
论文关键词：Machine learning,Deep learning,Decision support systems,Customer selection
论文评审过程：Received 4 December 2020, Revised 1 June 2021, Accepted 11 July 2021, Available online 16 July 2021, Version of Record 24 July 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115607
