Company failure prediction in the construction industry

作者：

Highlights：

• The paper proposes an innovative model to predict construction company failure.

• The model is based on the SVM technique and its performance is compared with Logistic regression.

• The model includes financial and strategic variables as predictors.

• Two different sampling techniques to handle imbalanced datasets are tested.

• The performance of the SVM model, evaluated using the AUC measure, is very good (over 90%).

摘要

•The paper proposes an innovative model to predict construction company failure.•The model is based on the SVM technique and its performance is compared with Logistic regression.•The model includes financial and strategic variables as predictors.•Two different sampling techniques to handle imbalanced datasets are tested.•The performance of the SVM model, evaluated using the AUC measure, is very good (over 90%).

论文关键词：Construction industry,Company failure,Support vector machine,Logistic regression

论文评审过程：Available online 1 June 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.05.045