Ensemble learning with label proportions for bankruptcy prediction

作者：

Highlights：

• Address bankruptcy prediction from perspective of learning with label proportions.

• Overcome the limitation that massive training data is hard to be labeled.

• Propose two ensemble models to solve the problem of bankruptcy prediction.

• Extensive experimental results verify the effectiveness of proposed methods.

摘要

•Address bankruptcy prediction from perspective of learning with label proportions.•Overcome the limitation that massive training data is hard to be labeled.•Propose two ensemble models to solve the problem of bankruptcy prediction.•Extensive experimental results verify the effectiveness of proposed methods.

论文关键词：Bankruptcy prediction,Ensemble learning,Learning with label proportion,Proportion-SVM

论文评审过程：Received 18 July 2019, Revised 29 November 2019, Accepted 20 December 2019, Available online 23 December 2019, Version of Record 2 January 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.113155