Random Balance: Ensembles of variable priors classifiers for imbalanced data.
José-Francisco Díez-PastorJuan José Rodríguez DiezCésar Ignacio García-OsorioLudmila I. KunchevaPublished in: Knowl. Based Syst. (2015)
Keyphrases
- imbalanced data
- ensemble methods
- ensemble classifier
- imbalanced data sets
- linear regression
- classification models
- decision trees
- class distribution
- sampling methods
- feature selection
- support vector machine
- random forest
- ensemble learning
- svm classifier
- class imbalance
- decision boundary
- minority class
- test set
- text categorization
- random sampling
- random forests
- training data
- base learners
- feature extraction