Cost-sensitive stacking ensemble learning for company financial distress prediction.
Shanshan WangGuotai ChiPublished in: Expert Syst. Appl. (2024)
Keyphrases
- cost sensitive
- ensemble learning
- base classifiers
- multi class
- cost sensitive learning
- misclassification costs
- binary classification
- naive bayes
- active learning
- class distribution
- random forest
- generalization ability
- ensemble methods
- class imbalance
- unlabeled data
- classification error
- support vector machine
- concept drift
- non stationary
- decision trees
- benchmark datasets
- neural network
- graph cuts
- small number
- pairwise
- support vector
- feature selection
- machine learning