Ensemble Learning with Resampling for Imbalanced Data.
Firuz KamalovAshraf ElnagarHo Hon LeungPublished in: ICIC (2) (2021)
Keyphrases
- imbalanced data
- ensemble learning
- ensemble methods
- ensemble classifier
- random forest
- generalization ability
- base classifiers
- minority class
- prediction accuracy
- decision trees
- random forests
- base learners
- machine learning methods
- feature selection
- multi class
- neural network
- unlabeled data
- feature set
- concept drift
- learning algorithm
- class distribution
- support vector machine
- machine learning