A novel hybrid intelligent approach for contractor default status prediction

作者：

Highlights：

• A novel contractor default prediction model is proposed.

• The model is developed based on the SMOTE, LS-SVM, and DE algorithms.

• Historical cases were collected to construct and verify the model.

• Experimental results show that the model can deliver superior performance.

摘要

•A novel contractor default prediction model is proposed.•The model is developed based on the SMOTE, LS-SVM, and DE algorithms.•Historical cases were collected to construct and verify the model.•Experimental results show that the model can deliver superior performance.

论文关键词：Hybrid intelligence,Financial default prediction,Least Squares Support Vector Machine,Differential Evolution,Imbalanced classification

论文评审过程：Received 28 October 2013, Revised 28 July 2014, Accepted 9 August 2014, Available online 19 August 2014.

论文官网地址：https://doi.org/10.1016/j.knosys.2014.08.009