An improved boosting based on feature selection for corporate bankruptcy prediction

作者：

Highlights：

• There is no overall best method has been used in predicting corporate bankruptcy.

• A new and improved Boosting, FS-Boosting, is proposed to predict corporate bankruptcy.

• Two datasets are selected to demonstrate the effectiveness and feasibility of FS-Boosting.

• Experimental results reveal that FS-Boosting could be used as an alternative method.

摘要

•There is no overall best method has been used in predicting corporate bankruptcy.•A new and improved Boosting, FS-Boosting, is proposed to predict corporate bankruptcy.•Two datasets are selected to demonstrate the effectiveness and feasibility of FS-Boosting.•Experimental results reveal that FS-Boosting could be used as an alternative method.

论文关键词：Corporate bankruptcy prediction,Ensemble learning,Boosting,Feature selection

论文评审过程：Available online 29 September 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.09.033