摘要
大学生的心理健康问题受到了各高校和相关研究人员的普遍关注。采用C4.5算法对大学生的心理健康问题进行分类分析。通过收集学生基础数据和SCL-90心理健康测评信息并提取相关属性,以C4.5算法构造大学生心理健康问题分类模型,发现影响学生心理健康的主要因素和它们之间的关系,并生成分类规则。利用测试集的数据对分类模型进行测试,测试结果表明该模型有较好的准确率。该模型一定程度上可为高校开展心理健康教育的规划、决策提供参考。
The mental health of college students has been widely concerned by all the universities and related researchers. Uses the C4.5 algorithm to analyze the mental health problems of college students. Based on the data collected from students and SCL-90 mental health assessment information and extracted the relevant properties. Constructs college students＇ mental health problems model base on C4.5 algorithm,finds the main factors influencing the students＇ mental health and the relationship between them, and generates classification rules. Pre-diction results show that the model has good accuracy. The model to some extent, can provide reference for the planning and decisionmaking of mental health education in colleges and universities.
出处
《现代计算机》
2016年第14期15-19,共5页
Modern Computer
