A novel ensemble method for classification in imbalanced datasets using split balancing technique based on instance hardness (sBal_IH).
Chongomweru HalimuAsem KasemPublished in: Neural Comput. Appl. (2021)
Keyphrases
- ensemble methods
- imbalanced datasets
- decision trees
- prediction accuracy
- machine learning methods
- benchmark datasets
- generalization ability
- imbalanced data
- ensemble learning
- ensemble classifier
- random forests
- random forest
- base classifiers
- cost sensitive learning
- class imbalance
- feature subset
- base learners
- neural network
- image classification
- feature selection
- machine learning