Multi-class and feature selection extensions of Roughly Balanced Bagging for imbalanced data.
Mateusz LangoJerzy StefanowskiPublished in: J. Intell. Inf. Syst. (2018)
Keyphrases
- imbalanced data
- multi class
- feature selection
- support vector machine
- base classifiers
- text categorization
- binary classification
- cost sensitive
- imbalanced datasets
- classification models
- text classification
- machine learning
- multi class classification
- feature set
- high dimensionality
- feature space
- support vector
- feature selection algorithms
- linear classifiers
- class imbalance
- class distribution
- dimensionality reduction
- classification accuracy
- feature extraction
- linear regression
- svm classifier
- ensemble learning
- multi task
- pairwise
- binary classifiers
- decision trees
- random forest
- model selection
- ensemble classifier