Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-sided Label Shifts.
Peter BellmannHeinke HihnDaniel A. BraunFriedhelm SchwenkerPublished in: ICAART (2) (2021)
Keyphrases
- binary classification
- class imbalance
- regression model
- cost sensitive
- class distribution
- active learning
- multi label
- binary classifiers
- multi class
- model selection
- high dimensionality
- concept drift
- feature selection
- class labels
- learning problems
- generalization error
- non stationary
- training examples
- feature extraction
- machine learning
- minority class
- test set
- text categorization
- graph cuts
- image classification
- small number
- support vector machine
- support vector
- training data
- learning algorithm