Abstract

There are more than 6000 major hazards installation enterprises in China. Because of the large amount of flammable, explosive and toxic media involved in major hazards installation enterprises, once an accident occurs, it will lead to serious accident consequences. Therefore, risk control is extremely important. Based on the historical risk data of major hazards installation enterprises in China, this paper uses random forest algorithm to predict its high-risk level situation, which provides support for the risk management and control of major hazards installation enterprises.

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