In order to improve the effectiveness of the analysis method of Internet addiction tendency, a multi factor weight model analysis method of Internet Addiction Tendency Based on machine learning method is proposed. Firstly, the research status of machine learning is analyzed, and a multi factor weight model of Internet addiction tendency is constructed; The deep belief network structure is designed based on machine learning method; The deep belief network is used to realize the weight sharing of Internet addiction tendency multi factors, effectively extract the convolution characteristics of Internet addiction tendency multi factors, and realize the analysis of Internet addiction tendency multi factor weight model. The experimental results show that the multi factor weight model of Internet Addiction Tendency Based on machine learning method can effectively improve the accuracy and effect of Internet addiction tendency analysis.