Learning from Imbalanced Data Using Ensemble Methods and Cluster-Based Undersampling.
Parinaz SobhaniHerna L. ViktorStan MatwinPublished in: NFMCP (2014)
Keyphrases
- learning from imbalanced data
- ensemble methods
- imbalanced datasets
- random forest
- imbalanced data
- prediction accuracy
- decision trees
- random forests
- benchmark datasets
- class imbalance
- machine learning methods
- base classifiers
- ensemble learning
- generalization ability
- class distribution
- base learners
- ensemble classifier
- cost sensitive
- neural network