CUS-heterogeneous ensemble-based financial distress prediction for imbalanced dataset with ensemble feature selection.
Xudong DuWei LiSumei RuanLi LiPublished in: Appl. Soft Comput. (2020)
Keyphrases
- ensemble feature selection
- imbalanced datasets
- ensemble methods
- ensemble learning
- prediction accuracy
- machine learning methods
- base classifiers
- benchmark datasets
- decision trees
- feature selection algorithms
- imbalanced data
- random forest
- generalization ability
- genetic search
- gene selection
- feature subset
- base learners
- ensemble classifier
- neural network
- class distribution
- feature selection
- machine learning algorithms
- class imbalance
- cost sensitive learning
- nearest neighbor
- classification accuracy