This article uses a variety of machine learning algorithms such as decision trees,random forests,and support vector machines to analyze and pattern identify professional comprehensive training results.The analysis results reveal the key patterns and rules behind the students'comprehensive training results,providing guidance for future development.Further it improves the content setting,organization method,and assessment method of professional comprehensive practical training to provide a foundation and basis for optimizing teaching quality,improving students'comprehensive quality,and promoting the intelligent development of higher education.
machine learningcomprehensive student training resultsteaching quality
维普
万方数据
