Using the Machine Learning Method to Study the Environmental Footprints Embodied in Chinese Diet.

ABSTRACT: The food system profoundly affects the sustainable development of the environment and resources. Numerous studies have shown that the food consumption patterns of Chinese residents will bring certain pressure to the environment. Food consumption patterns have individual differences. Therefore, reducing the pressure of food consumption patterns on the environment requires the precise positioning of people with high consumption tendencies. Based on the related concepts of the machine learning method, this paper designs an identification method of the population with a high environmental footprint by using a decision tree as the core and realizes the automatic identification of a large number of users. By using the microdata provided by CHNS(the China Health and Nutrition Survey), we study th

SUBMITTER: Liang Y 

PROVIDER: S-EPMC7579113 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature