Research on Student Academic Performance Prediction Methods

Authors

  • Chenghao Yan

DOI:

https://doi.org/10.54097/hset.v24i.3940

Keywords:

Academic Performance Prediction; Linear Regression; Random Forest.

Abstract

Student academic performance prediction can not only detect students' academic problems in advance, but also optimize teaching methods and provide students with personalized teaching methods, considering the complex relationship between academic performance and other factors, this paper uses linear regression and random forest to predict student academic performance.

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References

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Published

27-12-2022

How to Cite

Yan, C. (2022). Research on Student Academic Performance Prediction Methods. Highlights in Science, Engineering and Technology, 24, 257-263. https://doi.org/10.54097/hset.v24i.3940