Modelling Student Retention in Tutorial Classes with Uncertainty-A Bayesian Approach to Predicting Attendance-Based Retention
A Bayesian additive regression tree (BART) is a recent statistical method that blends ensemble learning with nonparametric regression. BART is constructed using a Bayesian approach, which provides the benefit of model-based prediction uncertainty, enhancing the reliability of predictions. This study...
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| 主要な著者: | , |
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| フォーマット: | 図書 |
| 出版事項: |
MDPI AG,
2024-07-01T00:00:00Z.
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| 請求記号: |
A1234.567 |
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| 所蔵 1 | 利用可 |