A model for predicting academic performance on standardised tests for lagging regions based on machine learning and Shapley additive explanations

Abstract Data are becoming more important in education since they allow for the analysis and prediction of future behaviour to improve academic performance and quality at educational institutions. However, academic performance is affected by regions’ conditions, such as demographic, psychographic, s...

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Bibliographic Details
Main Authors: Mario Suaza-Medina, Rita Peñabaena-Niebles, Maria Jubiz-Diaz
Format: Article
Language:English
Published: Nature Portfolio 2024-10-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-024-76596-3
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