Support Vector Machine and Boosted Regression Tree as Effective Data Mining Tools for Predicting Students' Academic Performance

• Published in: IEEE International Conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (Print) pp. 1 - 5
• Main Authors: Oparauwah, Nnaemeka M., Njoku, Donatus O., Onyemauche, Uchenna C., Okpalla, Chidimma L., Odii, Juliet N., Jibiri, Janefrances E., Okolie, Stanley A.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 26.11.2024
• Subjects: Academic performance; Accuracy; Boosted regression tree; Data analysis; Data mining; Data models; Humanities; Intelligent systems; Machine learning; Mathematical models; Prediction; Regression tree analysis; Support vector machine; Support vector machines

This paper reports the application of data mining techniques; Support Vector Regression (SVR) and Boosted Regression Tree (BRT) in prediction of students' academic performance in schools. The experimental approach in this study compared the performances of the two data mining techniques to asce...