Benchmarking regression algorithms for income prediction modeling

作者：

Highlights：

• This paper focuses on modeling income for the purposes of setting credit card limits.

• It reviews the performance of six linear and five non-linear methods as well as five approaches combining OLS and non-linear models.

• Those 16 techniques were applied to five real-life datasets.

• The resulting models were compared using 10 different performance measures.

摘要

•This paper focuses on modeling income for the purposes of setting credit card limits.•It reviews the performance of six linear and five non-linear methods as well as five approaches combining OLS and non-linear models.•Those 16 techniques were applied to five real-life datasets.•The resulting models were compared using 10 different performance measures.

论文关键词：Regulation,Income prediction,Regression techniques

论文评审过程：Received 21 January 2016, Revised 30 April 2016, Accepted 2 May 2016, Available online 12 May 2016, Version of Record 24 May 2016.

论文官网地址：https://doi.org/10.1016/j.is.2016.05.001