Evaluation research on data processing of mental health of college students based on decision tree algorithm

Abstract

With the popularization of higher education in China, a series of social problems caused by mental health problems rise frequently because of the imperfect mental quality of college students, attracting attention of the school and society. To gain insight into the main mental symptoms and factors affecting their mental health, decision tree owns an incomparable advantage, which is an important means in data mining. In this study, methods and procedures of decision tree construction were introduced and decision tree C4.5 algorithm was elaborated. In this algorithm, appropriate attributes were selected as tree roots and subtree roots, and then the decision tree was constructed through repetition. Decision tree algorithm could classify the mental health of college students precisely, analyze rules and guide mental health counselors with correct plans, which was helpful to the decision making and mental health of college students improving.