Evaluating Misclassifications in Imbalanced Data.
William ElazmehNathalie JapkowiczStan MatwinPublished in: ECML (2006)
Keyphrases
- imbalanced data
- class distribution
- learning from imbalanced data
- linear regression
- imbalanced datasets
- misclassification costs
- cost sensitive learning
- cost sensitive
- decision trees
- ensemble methods
- class imbalance
- classification models
- sampling methods
- feature selection
- minority class
- support vector machine
- random forest
- ensemble classifier
- high dimensionality
- machine learning algorithms
- least squares