Entropy and Confidence-Based Undersampling Boosting Random Forests for Imbalanced Problems.
Zhe WangChenjie CaoYujin ZhuPublished in: IEEE Trans. Neural Networks Learn. Syst. (2020)
Keyphrases
- random forests
- ensemble methods
- decision tree ensembles
- base learners
- randomized trees
- binary classification problems
- logistic regression
- random forest
- machine learning algorithms
- data sets
- conformal prediction
- decision trees
- regression problems
- feature selection
- classification and regression trees
- learning algorithm
- class imbalance
- feature space
- text classification
- image classification
- multi class