Predicting and Interpreting Student Performance Using Ensemble Models and Shapley Additive Explanations
In several areas, including education, the use of machine learning, such as artificial neural networks, has resulted in significant improvements in predicting tasks. The opacity of these models is one of the problems with their use. Prediction models that may offer valuable insights while still bein...
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Auteurs principaux: | , , , , |
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Format: | article |
Langue: | EN |
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IEEE
2021
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Accès en ligne: | https://doaj.org/article/a80a718b693744d9973e56ed63b82f0f |
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