Fuzzy entropy and fuzzy support-based boosting random forests for imbalanced data.
Mingxue JiangYoulong YangHaiquan QiuPublished in: Appl. Intell. (2022)
Keyphrases
- random forests
- ensemble methods
- fuzzy entropy
- imbalanced data
- base learners
- random forest
- fuzzy sets
- membership functions
- decision tree ensembles
- decision trees
- benchmark datasets
- base classifiers
- ensemble learning
- prediction accuracy
- generalization ability
- machine learning methods
- fuzzy rules
- fuzzy logic
- machine learning algorithms
- feature selection
- regression problems
- pattern recognition
- logistic regression
- feature set
- feature vectors
- ensemble classifier
- similarity measure