Online supply chain financial risk assessment based on improved random forest

• DOI: 10.1007/s42488-021-00042-6
• Publication Date: 2021-02-04T22:05:11Z
• Authors: Hao Zhang; Yuxin Shi; Jiayu Tong
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

This article applies the improved stochastic forest algorithm to online supply chain financial risk assessment and establishes the index system and corresponding model of the online supply chain financial risk assessment based on improved random forest. Data analysis proves the feasibility and accuracy of improved random forest applied to an online financial risk assessment of a supply chain, which provides a new risk assessment method.