Marketing System Construction and Risk Analysis Based on Random Forest of Machine Learning

Abstract

This paper analyses the innovative marketing model of enterprises in the new era from the perspective of the characteristics of enterprises and the problems of innovative marketing strategies and puts forward solution strategies and suggestions to provide reference for enterprises to get faster and better development in the new era. Based on the connotation of credit in the random forest, this paper follows the principles of science, standardization, fairness, and objectivity, draws on various credit factor analysis methods and famous credit scoring systems (such as FICO and Sesame Credit), closely links with relevant government and enterprise policy documents, combines with the actual situation of enterprise market, and finally builds a credit factor from three aspects of enterprise market: foundation, marketing, and monopoly. The credit index system consists of 3 primary indicators, 10 secondary indicators, and 22 tertiary indicators.