Selective ensemble learning algorithm for imbalanced dataset.
Hongle DuYan ZhangLin ZhangYeh-Cheng ChenPublished in: Comput. Sci. Inf. Syst. (2023)
Keyphrases
- learning algorithm
- imbalanced datasets
- ensemble methods
- imbalanced data
- learning from imbalanced data
- generalization ability
- training data
- base learners
- random forest
- class distribution
- decision trees
- ensemble learning
- cost sensitive learning
- machine learning methods
- machine learning algorithms
- machine learning
- prediction accuracy
- active learning
- benchmark datasets
- base classifiers
- rare class
- class imbalance
- reinforcement learning
- sampling methods
- training samples
- learning scheme
- back propagation
- random forests
- training examples
- learning problems
- learning tasks
- feature selection algorithms
- unlabeled data
- labeled data
- text classification
- class labels
- data sets