Predicting engineering students' academic performance using ensemble classifiers- a preliminary finding / A'zraa Afhzan Ab Rahim and Norlida Buniyamin
Current literature review indicates a void of an accurate predictive tool to assist educators and administrators in analyzing and monitoring student performance in Malaysia. Wellknown data mining classifiers such as Decision Tree (DT), Support Vector Machine (SVM), Logistic Regression (LR), Naïve B...
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| Format: | Book |
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UiTM Press,
2022-04.
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| Online Access: | Link Metadata |
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