Fair and Transparent Student Admission Prediction Using Machine Learning Models
Student admission prediction is a crucial aspect of academic planning, offering insights into enrollment trends, resource allocation, and institutional growth. However, traditional methods often lack the ability to address fairness and transparency, leading to potential biases and inequities in the...
| Главные авторы: | , , |
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| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
MDPI AG
2024-12-01
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| Серии: | Algorithms |
| Предметы: | |
| Online-ссылка: | https://www.mdpi.com/1999-4893/17/12/572 |