Exploring the Relationship between Parenting Style and College Students' Mental Health based on the SVM Algorithm

Abstract

This study aims to explore the relationship between parental parenting style and the mental health of college students based on the support vector machine (SVM) algorithm. Collect data on parenting style and mental health status through a questionnaire survey of college students. Using the SVM algorithm to analyze and process data, to reveal the impact mechanism of different parenting styles on the mental health of college students. The research results contribute to a deeper understanding of the role of parenting style in the development of college student's mental health, providing the scientific basis and practical guidance for college students' mental health education, and promoting their comprehensive and healthy growth.