Analysis of the Physical Education Learning Effect of College Students Based on Data Mining Algorithm
摘要
Sports are also the main content of basic education and single education. It has been neglected all the time, and its educational effect is not ideal. How to effectively improve the teaching effect of physical education and deepen the optimization and reform of educational structure has become the main research hotspot. Therefore, it is necessary to make a comprehensive judgment on it with the help of analytical methods, form comprehensive data mining, and determine the eigenvalue data characteristics and data points. The results show that in the process of data mining, the effect of sports can be significantly improved, and the key contents and overall structure can be significantly improved. How to effectively improve the integrity of excavator movement and deepen its structure is the main research hotspot at present. Whether there are differences and key points between physical education and physical education teaching effects are also the current research content. In the process of data mining, there is an inevitable connection between its sports and educational effects. The improvement between them is greater than 40%, and the overall optimization of data can be realized, and the optimization rate is greater than 10%. It shows that deep mining, data mining and comprehensive analysis can improve the integrity of the verification effect and promote its structural optimization.