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Abstract
In order to obtain the ideal cross-border electrician credit risk assessment results, this paper proposes a gray correlation analysis and least squares support vector machine for cross-border e-commerce credit risk assessment model for cross-border e-commerce credit risk assessment The First of all, according to the relevant research to build cross-border e-commerce credit risk assessment indicators, and the use of gray relational analysis of the evaluation results selected the most important evaluation indicators; and then use the least squares support vector machine cross-border e-commerce credit risk assessment samples to learn, and constructs the evaluation model of cross-border e-commerce credit risk. Finally, the validity and superiority of the model are analyzed. The results show that the model can improve the accuracy of cross - border e- commerce credit risk and provide valuable reference information for cross - border electricity trading.