The 8th Edition of the International Conference on Research in Applied Mathematics and Computer Science>
Predicting Low Achievement in PISA 2022 Morocco: A Machine-Learning Comparison of Random Forest, XGBoost, SVM, and MLP
Ibrahim Allali  1, @  , Lahboub Zouiri  2, @  
1 : Laboratoire d'économie appliquée - FSJES Agdal- Université mohamed V
2 : Laboratoire d'économie appliquée - FSJES Agdal- Université mohamed V de Rabat
Subject : : Abstract
Topics : Artificial Intelligence, Machine Learning and Deep Learning
Keywords : Machine learning ; XGBoost ; PISA 2022 ; Low achievement ; Morocco
PDF version :  PDF version
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