期刊文献+

基于决策树的大学英语等级考试成绩研究

Research on the Score of College English Test Based on Decision Tree
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摘要 高校学生的大学英语等级考试水平反映了该校的英语教学水平,某些高校甚至将其直接跟学位证书挂钩。为了了解不同学院间英语等级考试成绩的特点,该文针对浙江某高校共1839名学生的英语四、六级考试成绩,通过决策树分析实现四级成绩不同学院之间的横向比较和六级成绩同一学院的纵向比较,发现了各学院英语等级考试成绩的特点,为英语教学的教师安排和教学重点知识讲授提供科学依据,帮助学生提高英语等级考试成绩。 The level of student' s CET reflects a college' s English teaching level. Some colleges even linked it with the diploma directly. In order to understand the characteristics of CET in different schools, this paper focuses on 1839 students' CET-4 and CET-6 scores and utilizes decision tree to realize the horizontal comparison of CET-4 scores between schools and vertical com- parison of CET-6 scores of the same school. The result shows the characteristics of CET score between different schools, which provides scientific basis for teacher arrangement and important knowledge transmission and helps to promote the students ' CET scores.
作者 毛雪吟 沈良忠 MAO Xue-yin, SHEN Liang-zhong (School of Information Engineering, Wenzhou Business College, Wenzhou 325000, China)
出处 《电脑知识与技术》 2017年第8期16-17,31,共3页 Computer Knowledge and Technology
关键词 数据挖掘 WEKA 决策树 C4.5 英语等级考试 Data mining Weka Decision Tree C4.5 College English Test
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