Genetic algorithm based feature selection for predicting student’s academic performance

• Main Authors: Al Farissi, Al Farissi, Mohamed Dahlan, Halina, Samsuryadi, Samsuryadi
• Format: Conference or Workshop Item
• Published: 2020
• Subjects: HF Commerce
• Online Access: http://eprints.utm.my/id/eprint/92442/; http://dx.doi.org/10.1007/978-3-030-33582-3_11
• Institution: Universiti Teknologi Malaysia

Recently, student’s academic performance prediction has become an increasingly prominent research topic in the field of Educational Data Mining (EDM). The prediction of student’s academic performance aims to explore information that is beneficial to the learning process of student. Therefore, accura...