Mental State Prediction of College Students Based on Decision Tree

Abstract

AbstractBased on the relevant data of college students’ mental health status and various social problems caused by it, this paper constructs a prediction model of college students’ mental health by using decision tree C4.5 algorithm, and extracts classification rules to predict and evaluate the mental health status of college students. The experimental results show that the model has a good accuracy and can correctly classify the mental health status of college students. To some extent, the prediction model can provide reference for the planning and decision-making of mental health education in colleges and universities.KeywordsData miningDecision treeC4.5 algorithmMental health