Measuring the class-imbalance extent of multi-class problems.
Jonathan Ortigosa-HernándezIñaki InzaJosé Antonio LozanoPublished in: Pattern Recognit. Lett. (2017)
Keyphrases
- multi class problems
- class imbalance
- class distribution
- active learning
- cost sensitive learning
- binary classification problems
- cost sensitive
- binary classification
- high dimensionality
- concept drift
- multi class
- feature selection
- high dimensional
- naive bayes
- data sets
- training data
- machine learning
- change detection
- nearest neighbor
- data streams
- e learning