Weighted conditional mutual information based boosting for classification of imbalanced datasets.
Ákos UtasiPublished in: ICPR (2012)
Keyphrases
- imbalanced datasets
- ensemble methods
- cost sensitive learning
- class imbalance
- cost sensitive
- class distribution
- decision trees
- imbalanced data
- rare class
- feature selection
- classification accuracy
- machine learning
- sampling methods
- machine learning methods
- supervised learning
- feature selection algorithms
- pattern classification
- support vector machine
- support vector
- feature extraction
- prediction accuracy
- base classifiers
- generalization ability
- ensemble learning
- model selection
- feature space
- decision boundary
- minority class
- benchmark datasets