The effect of class imbalance on case selection for case-based classifiers: An empirical study in the context of medical decision support.
Jordan M. MalofMaciej A. MazurowskiGeorgia D. TourassiPublished in: Neural Networks (2012)
Keyphrases
- class imbalance
- binary classification problems
- medical decision support
- majority class
- class distribution
- minority class
- imbalanced data sets
- active learning
- imbalanced data
- cost sensitive
- imbalanced datasets
- intelligent systems
- training data
- class imbalanced
- cost sensitive learning
- decision trees
- support vector
- high dimensionality
- training examples
- training set
- concept drift
- test set
- training samples
- small number
- semi supervised
- neural network
- linear classifiers
- sampling methods
- classification algorithm
- feature space
- feature selection