Selective oversampling approach for strongly imbalanced data.
Peter GnipLiberios VokorokosPeter DrotárPublished in: PeerJ Comput. Sci. (2021)
Keyphrases
- imbalanced data
- class imbalance
- minority class
- majority class
- class distribution
- sampling methods
- imbalanced datasets
- learning from imbalanced data
- active learning
- support vector machine
- linear regression
- random forest
- cost sensitive learning
- classification error
- feature selection
- classification models
- high dimensionality
- nearest neighbour
- ensemble classifier
- svm classifier
- base classifiers
- machine learning
- ensemble learning
- ensemble methods
- cost sensitive
- non stationary
- semi supervised learning
- training data