Improved students' performance prediction for multi-class imbalanced problems using hybrid and ensemble approach in educational data mining

• Main Authors: Hassan, H., Ahmad, N. B., Anuar, S.
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: QC Physics
• Online Access: http://eprints.utm.my/id/eprint/93715/1/HasnizaHassan2020_ImprovedStudentsPerformancePrediction.pdf; http://eprints.utm.my/id/eprint/93715/; http://dx.doi.org/10.1088/1742-6596/1529/5/052041
• Institution: Universiti Teknologi Malaysia

Among the problems raised in the data mining area, the class imbalance is a well-known issue that always occurs. Many researchers studied this issue in several fields using three commonly used techniques: sampling, ensemble, or cost-sensitive learning. However, such studies are still new in educatio...