Comparison of results with the existing model.

<div><p>Predicting learning achievement is a crucial strategy to address high dropout rates. However, existing prediction models often exhibit biases, limiting their accuracy. Moreover, the lack of interpretability in current machine learning methods restricts their practical application...

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Bibliographic Details
Main Author:	Tingting Tong (11993299) (author)
Other Authors:	Zhen Li (49109) (author)
Published:	2025
Subjects:	Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified shapley additive explanation logistic regression serving feature importance analysis predicting learning achievement learning achievement based ensemble learning techniques uses interpretability analysis deep learning model ensemble learning ensemble model xuetangx dataset study introduces robust model results demonstrate research combines proposed model predictive framework prediction results practical application personalized interventions meta learner crucial strategy base learner
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Comparison of results with the existing model.

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