决策树算法在实践教学中的应用研究  

Application of Decision Tree Algorithm in Practical Teaching

作　　者：阴亚芳 孙朝阳 YIN Yafang;SUN Chaoyang(Electronic Engineering Institute,Xi＇an University of Posts and Telecommunications,Xi＇an 710061)

机构地区：[1]西安邮电大学电子工程学院,西安710061

出　　处：《计算机与数字工程》2018年第6期1078-1082,1088,共6页Computer & Digital Engineering

摘　　要：近年来,高等教育高速发展,高校中实践课程的设置是否科学合理,深刻影响着培养学生应用知识的能力。为使实践课程的管理更加科学合理,将决策树算法应用于提高实践课程教学效果的探索中,用C4.5算法和ID3算法对训练样本建立模型并进行分类预测,准确率分别为80%和71%。最终得出用C4.5算法,能更好地为教学管理部门探索提高实践课程教学效果的路径提供决策支持。In recent years,the rapid development of higher education,the establishment of practical courses in colleges anduniversities whether the scientific and reasonable,profound impact on the ability to develop students to apply knowledge. In order tomake the management of the practical course more scientific and reasonable,the decision tree algorithm is applied to improve theteaching effect of the practical course. The C4.5 algorithm and the ID3 algorithm are used to establish the model and the classifica-tion and prediction. The accuracy rates are 80% and 71%. Finally,using C4.5 algorithm,can better provide decision support for the teaching management department to explore the way to improve the teaching effect of practical courses.

关 键 词：科学合理 实践课程 ID3 C4.5 决策树算法 

分 类 号：P315.69[天文地球—地震学]