Cost-sensitive ensemble learning: a unifying framework.
George PetridesWouter VerbekePublished in: Data Min. Knowl. Discov. (2022)
Keyphrases
- cost sensitive
- ensemble learning
- base classifiers
- cost sensitive learning
- mutual subspace method
- misclassification costs
- naive bayes
- generalization ability
- multi class
- training set
- data sets
- neural network
- ensemble classifier
- class imbalance
- ensemble methods
- classification error
- classification accuracy
- binary classification
- image features
- boosting algorithms
- nearest neighbor
- small number