Biased Random Forest For Dealing With the Class Imbalance Problem.
Mohammed Bader-El-DenEleman TeiteiTodd PerryPublished in: IEEE Trans. Neural Networks Learn. Syst. (2019)
Keyphrases
- random forest
- class imbalance
- class distribution
- imbalanced data
- random forests
- active learning
- decision trees
- cost sensitive
- ensemble methods
- feature set
- base classifiers
- concept drift
- imbalanced datasets
- ensemble learning
- sampling methods
- cost sensitive learning
- feature selection
- high dimensionality
- fold cross validation
- multi label
- ensemble classifier
- training data
- minority class
- image processing