文章基本信息

标题：Evaluation of teaching quality based on binary tree support vector machine
本地全文：下载
作者：Xinghui Wu ; Zaifeng Shi ; Haihua Xing 等
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2022
卷号：355
页码：1-7
DOI：10.1051/matecconf/202235503059
语种：English
出版社：EDP Sciences
摘要：In order to solve the reliability of the evaluation results of teaching quality in universities and colleges, an improved model of teaching evaluation based on the Support vector machine was put forward. In this model, the evaluator does not need to give an evaluation result of the teacher’s teaching quality, but gives the score of each evaluation index, and then calls the Support vector machine, automatic classification of teachers’ teaching quality. The experiment proves that the improved algorithm can improve the teaching quality evaluation accuracy and the result is better.
关键词：Fuzzy;Binary tree;Support vector machine;Teaching quality