摘要
分析了ID3型决策树的挖掘分类过程,并结合距离测度和阈值判断进行了改进.设计了5种学生属性,分别是兴趣属性、课堂学习属性、作业完成属性、预复习属性、课外训练属性.借助改进的决策树模型,结合500个样本数据,分析了学生属性对于计算机课程教学效果的影响.实验结果表明,兴趣属性、预复习属性、作业完成属性对计算机课程教学效果的提升最为重要.
The classification process of ID3 decision tree has been analyzed, and the combination of distance measure and threshold value judgment been improved. 5 kinds of students＇ attributes have been designed, which are interest attributes, classroom learning attributes, job completion attributes, pre-review attributes, and extracurricular training attributes. With the aid of the improved decision tree model, combined with the 500 sample data, the influence of the studentsr attributes on the teaching effect of computer course has been analyzed. The experiment results show that the most important is the improvement of the effect of the computer course teaching by the property of interest, the attribute of the pre-review and the completion of the work.
出处
《西南师范大学学报（自然科学版）》
CAS
北大核心
2017年第1期60-65,共6页
Journal of Southwest China Normal University(Natural Science Edition)
关键词
决策树
学生属性
计算机课程
教学效果
decision tree
students attribute
computer course
teaching effect
