LoRAS: An oversampling approach for imbalanced datasets.
Saptarshi BejNarek DavtyanMarkus WolfienMariam NassarOlaf WolkenhauerPublished in: CoRR (2019)
Keyphrases
- imbalanced datasets
- class imbalance
- minority class
- class distribution
- majority class
- cost sensitive learning
- sampling methods
- learning from imbalanced data
- active learning
- cost sensitive
- imbalanced data
- high dimensionality
- training dataset
- classification error
- concept drift
- decision boundary
- misclassification costs
- ensemble methods
- decision trees
- feature selection
- machine learning
- test set
- feature selection algorithms
- training data
- ensemble learning