Improving predictive performance in e-learning through hybrid 2-tier feature selection and hyper parameter-optimized 3-tier ensemble modeling

Research article (International Journal of Information Technology, 2024) · cited 54× · AI/ML
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Improving predictive performance in e-learning through hybrid 2-tier feature selection and hyper parameter-optimized 3-tier ensemble modeling

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Improving predictive performance in e-learning through hybrid 2-tier feature selection and hyper parameter-optimized 3-tier ensemble modeling is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improving predictive performance in e-learning through hybrid 2-tier feature selection and hyper parameter-optimized 3-tier ensemble modeling. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-predictive-performance-in-e-learning-through-hybrid-2-tier-feature-selection-and-hyper-parameter-optimized-3-t
MLA “Improving predictive performance in e-learning through hybrid 2-tier feature selection and hyper parameter-optimized 3-tier ensemble modeling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-predictive-performance-in-e-learning-through-hybrid-2-tier-feature-selection-and-hyper-parameter-optimized-3-t.
BibTeX @misc{4ortxyz_improving-predictive-performance-in-e-learning-through-hybrid-2-tier-feature-selection-and-hyper-parameter-optimized-3-t_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving predictive performance in e-learning through hybrid 2-tier feature selection and hyper parameter-optimized 3-tier ensemble modeling}}, year = {2026}, url = {https://4ort.xyz/entity/improving-predictive-performance-in-e-learning-through-hybrid-2-tier-feature-selection-and-hyper-parameter-optimized-3-t}, note = {Accessed: 2026-05-24}}
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