Teaching Quality Evaluation of “Data Structure” Courses Based on Principal Component Analysis and Support Vector Machine

Abstract

In order to obtain a higher-precision “data structure” teaching quality evaluation result, according to the characteristics of the “data structure” teaching quality evaluation. A “data structure” teaching quality evaluation model based on the combination of principal component analysis and support vector machine is designed and applied to specific examples. The experimental results confirm that the established model has obtained high-precision evaluation results in the “data structure” teaching quality evaluation level, which can provide valuable information for improving the teaching quality evaluation of “data structure” and related courses.