Switching synthesizing-incorporated and cluster-based synthetic oversampling for imbalanced binary classification.
Jun DouZihan GaoGuoliang WeiYan SongMing LiPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- binary classification
- class imbalance
- cost sensitive
- class distribution
- active learning
- minority class
- binary classification problems
- multi class classification
- cost sensitive learning
- binary classifiers
- high dimensionality
- multi class
- multiclass classification
- single class
- concept drift
- support vector
- sampling methods
- training data
- data sets
- feature selection
- generalization error
- learning problems
- multi label