Impact of dimensionality reduction techniques on student performance prediction using machine learning

Impact of dimensionality reduction techniques on student performance prediction using machine learning

Show other versions (1)

This study addresses the crucial issue of predicting student performance in educational data mining (EDM) by proposing an Adaptive Dimensionality Reduction Algorithm (ADRA). ADRA efficiently reduces the dimensionality of student data, encompassing various academic, demographic, behavioral, social,...

Full description

Saved in:
Bibliographic Details
Main Authors: Koushik Roy, Huu-Hoa Nguyen, Dewan Md. Farid
Format: Article
Language:English
Published: Can Tho University Publisher 2023-10-01
Series:CTU Journal of Innovation and Sustainable Development
Subjects:
Backward elimination, dimensionality reduction, forward selection, recursive feature elimination, student performance prediction
Online Access:http://web2010.thanhtoan/index.php/ctujs/article/view/707
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items