Luo, Yiming (2023) Identifying Factors Influencing China Junior High Students' Cognitive Ability through Educational Data Mining: Utilizing LASSO, Random Forest, and XGBoost. In: Proceedings of the 4th International Conference on Modern Education and Information Management, ICMEIM 2023, September 8–10, 2023, Wuhan, China.
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Abstract
The study innovatively applied educational data mining techniques to the China Education Panel Survey, using LASSO regression, Random Forest, and XGBoost algorithms to identify factors influencing students' cognitive ability. Experimental results indicated that the XGBoost and Random Forest algorith
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 16:48 |
| Last Modified: | 17 Apr 2026 01:46 |
| URI: | http://eprints.eai.eu/id/eprint/45413 |
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