Equalizing imbalanced imprecise datasets for genetic fuzzy classifiers.
Ana M. PalaciosLuciano SánchezInés CousoPublished in: Int. J. Comput. Intell. Syst. (2012)
Keyphrases
- imbalanced data
- binary classification problems
- imbalanced datasets
- class imbalanced
- accurate classifiers
- feature selection
- imbalanced data sets
- associative classifiers
- decision trees
- benchmark datasets
- support vector
- multi class
- linear classifiers
- multiclass classification
- classification algorithm
- test data
- naive bayes
- support vector machine
- rare class
- feature selection algorithms
- class imbalance
- majority voting
- training samples
- single class
- class distribution
- multi class problems
- trained classifiers
- classification models