Analysis of the influencing factors of Yiwu cross-border e-commerce transaction volume based on grey model

Through the case of Yiwu Comprehensive Pilot Zone, the key factors affecting the development of the city's cross-border ecommerce industry are discussed, and the future cross-border e-commerce transaction volume is predicted. The Pearson coefficient was used to analyze the correlation of the feature data, and the key features were selected by combining the Lasso regression model. Build a grey prediction model to make predictions about future data for selected key features. An SVR vector regression model is established to predict the cross-border e-commerce transaction volume in the next two years. Sorting out the key elements to promote the increase of cross-border e-commerce transaction volume, and promote the highquality and rapid development of the industry.