A multivariate analysis of the early dropout using classical machine learning and local interpretable model-agnostic explanations
Student dropout rates can have a significant negative impact on both the development of educational institutions and the personal growth of students. Consequently, many institutions are focused on identifying key factors that contribute to dropout and implementing strategies to mitigate them. This...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Can Tho University Publisher
2024-10-01
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| Series: | CTU Journal of Innovation and Sustainable Development |
| Subjects: | |
| Online Access: | http://web2010.thanhtoan/index.php/ctujs/article/view/1171 |
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