Chaoying Zhou
Prosocial behavior is a positive behavior that benefits others and society. The characteristic of pro social behavior formed by adolescents in the process of individual socialization is not only a sign of their healthy growth, but also a value expectation of mainstream society. Currently, due to the negative impact of some negative factors in the macro social environment on the socialization of adolescents, as well as the unhealthy psychological factors in their own growth, some adolescents are experiencing a lack of prosocial behavior. Society can adopt appropriate intervention methods for young individuals to train and cultivate their prosocial behavior. Self control analysis of adolescent prosocial behavior based on optimized Random forest algorithm. This paper uses the optimized Random forest algorithm to conduct model training and testing by collecting adolescent behavior data, data preprocessing, Feature selection and other steps, so as to obtain accurate self-control analysis results of adolescent prosocial behavior, and provide support and help for education, counseling and intervention. The results showed that self-control played a significant mediating role between peer attachment and pro social behavior of self-evaluation, but did not play a mediating role between peer attachment and pro social behavior of father evaluation and mother evaluation.