Cost-sensitive one-vs-one ensemble for multi-class imbalanced data.
Bartosz KrawczykPublished in: IJCNN (2016)
Keyphrases
- cost sensitive
- class imbalanced data
- base classifiers
- multi class
- misclassification costs
- cost sensitive learning
- cost sensitive classification
- binary classification
- active learning
- feature selection
- class distribution
- naive bayes
- class imbalance
- probability estimates
- support vector machine
- ensemble methods
- training set
- confidence weighted
- neural network
- decision trees
- boosting algorithms
- imbalanced data
- text mining
- learning algorithm