A Novel Machine Learning Approach For handling Imbalanced Data: Leveraging SMOTE-ENN and XGBoost.
Bounab RayeneBouchra GuelibKarim ZarourPublished in: PAIS (2024)
Keyphrases
- imbalanced data
- machine learning
- feature selection
- support vector machine
- decision trees
- class distribution
- linear regression
- imbalanced data sets
- imbalanced datasets
- ensemble methods
- class imbalance
- sampling methods
- learning tasks
- classification models
- machine learning methods
- highly skewed
- random forest
- machine learning algorithms
- highly imbalanced
- supervised learning
- ensemble classifier
- active learning
- svm classifier
- generalization ability
- semi supervised learning
- cost sensitive learning
- knn
- feature extraction