Analysis and Prediction of Heyuan Vegetables Foods Base on Data Mining
The research analyze the sampling inspection data of vegetables in Heyuan between 2020 and 2022,to find out the important influencing factors of vegetables sampling inspection results,and provide suggestions for relevant regulatory authorities.Using Logistic regression model and decision tree model to analyze sampling inspection venue,vegetables varieties,sampling inspection date etc factors,to find out the inner regularity between these factors and sampling inspection results of vegetables.The joint measurement by Logistic regression model and decision tree model shows,vegetable varieties and Sampling inspection date influence vegetables sampling inspection results significantly.It is necessary to further strengthen the scientificity of vegetable sampling inspection work arrangement,and improve the hit rate and enhance the efficiency of sampling inspection work.
vegetablesfood safetydata miningrisk analysis and predictionHeyuan
NETL
NSTL
万方数据
