OIS-RF: A novel overlap and imbalance sensitive random forest.
Bo-Wen YuanZhong-Liang ZhangXing-Gang LuoYang YuXiao-Hua ZouXiao-Dong ZouPublished in: Eng. Appl. Artif. Intell. (2021)
Keyphrases
- random forest
- random forests
- decision trees
- imbalanced data
- fold cross validation
- feature set
- decision tree learning algorithms
- ensemble methods
- rotation forest
- multi label
- ensemble learning
- imbalanced datasets
- base classifiers
- relevance feedback
- class distribution
- class imbalance
- ensemble classifier
- data mining
- small number
- feature importance
- computer vision