The effect of class imbalance on case selection for case-based classifiers, with emphasis on computer-aided diagnosis systems.
Jordan M. MalofMaciej A. MazurowskiGeorgia D. TourassiPublished in: IJCNN (2009)
Keyphrases
- class imbalance
- binary classification problems
- majority class
- imbalanced data sets
- minority class
- class distribution
- active learning
- imbalanced data
- cost sensitive learning
- sampling methods
- class imbalanced
- cost sensitive
- feature selection
- computer aided diagnosis systems
- high dimensionality
- training set
- training samples
- support vector
- training data
- linear classifiers
- machine learning methods
- instance selection
- class labels
- test set
- naive bayes
- decision trees