Predicting Students Performance Using Supervised Machine Learning Based on Imbalanced Dataset and Wrapper Feature Selection.
Sadri AlijaEdmond BeqiriAlaa Sahl GaafarAlaa Khalaf HamoudPublished in: Informatica (Slovenia) (2023)
Keyphrases
- supervised machine learning
- imbalanced datasets
- wrapper feature selection
- learning environment
- supervised learning
- manually annotated
- active learning
- e learning
- classification accuracy
- learning from imbalanced data
- machine learning
- class distribution
- ground truth
- ensemble methods
- class imbalance
- support vector machine
- cost sensitive learning
- learning process
- decision trees
- feature selection
- learning algorithm