Predicting student performance and its influential factors using hybrid regression and multi-label classification

A Alshanqiti, A Namoun - Ieee Access, 2020 - ieeexplore.ieee.org
Understanding, modeling, and predicting student performance in higher education poses
significant challenges concerning the design of accurate and robust diagnostic models …

[PDF][PDF] Predicting Student Performance and Its Influential Factors Using Hybrid Regression and Multi-Label Classification

A ALSHANQITI, A NAMOUN - academia.edu
Understanding, modeling, and predicting student performance in higher education poses
significant challenges concerning the design of accurate and robust diagnostic models …

[PDF][PDF] Predicting Student Performance and Its Influential Factors Using Hybrid Regression and Multi-Label Classification

A ALSHANQITI, A NAMOUN - researchgate.net
Understanding, modeling, and predicting student performance in higher education poses
significant challenges concerning the design of accurate and robust diagnostic models …

[引用][C] Predicting Student Performance and Its Influential Factors Using Hybrid Regression and Multi-Label Classification

A Alshanqiti, A Namoun - IEEE Access, 2020 - ui.adsabs.harvard.edu
Predicting Student Performance and Its Influential Factors Using Hybrid Regression and
Multi-Label Classification - NASA/ADS Now on home page ads icon ads Enable full ADS view …

[引用][C] Predicting Student Performance and Its Influential Factors Using Hybrid Regression and Multi-Label Classification

A Alshanqiti, A Namoun - IEEE Access, 2020 - cir.nii.ac.jp
Predicting Student Performance and Its Influential Factors Using Hybrid Regression and
Multi-Label Classification | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] …

[PDF][PDF] Predicting Student Performance and its Influential Factors using Hybrid Regression and Multi-Label Classification

A Alshanqiti, A Namoun - scholar.archive.org
Understanding, modeling, and predicting student performance in higher education poses
significant challenges concerning the design of accurate and robust diagnostic models …