Types of minority class examples and their influence on learning classifiers from imbalanced data.
Krystyna NapieralaJerzy StefanowskiPublished in: J. Intell. Inf. Syst. (2016)
Keyphrases
- imbalanced data
- imbalanced data sets
- minority class
- class distribution
- class imbalance
- majority class
- imbalanced datasets
- learning process
- learning algorithm
- active learning
- training examples
- linear regression
- sampling methods
- classification models
- feature selection
- machine learning algorithms
- support vector machine
- nearest neighbour
- classification error
- high dimensional
- decision trees