Random Forest Variable Importance-based Selection Algorithm in Class Imbalance Problem.
Yunbi NamSunwoo HanPublished in: CoRR (2023)
Keyphrases
- random forest
- selection algorithm
- class imbalance
- class distribution
- random forests
- decision trees
- active learning
- cost sensitive
- imbalanced datasets
- base classifiers
- ensemble methods
- feature set
- search algorithm
- feature selection
- ensemble learning
- prototype selection
- high dimensionality
- multi label
- minority class
- feature subset
- concept drift
- training set
- benchmark datasets
- graph cuts
- dimensionality reduction
- multi class
- feature selection algorithms
- support vector
- feature extraction