Ensembles of Decision Trees for Imbalanced Data.
Juan José RodríguezJosé-Francisco Díez-PastorCésar Ignacio García-OsorioPublished in: MCS (2011)
Keyphrases
- imbalanced data
- decision trees
- ensemble methods
- random forest
- base classifiers
- classification models
- imbalanced datasets
- learning from imbalanced data
- linear regression
- machine learning algorithms
- ensemble classifier
- ensemble learning
- feature selection
- class distribution
- classification trees
- training data
- naive bayes
- training set
- probability estimation
- multi class
- generalization ability
- classification accuracy
- random forests
- attribute selection
- decision rules
- class imbalance
- error rate
- sampling methods