AECID: Asymmetric entropy for classifying imbalanced data.
Radhouane GuermaziIkram ChaabaneMohamed HammamiPublished in: Inf. Sci. (2018)
Keyphrases
- imbalanced data
- learning from imbalanced data
- class distribution
- feature selection
- imbalanced datasets
- ensemble methods
- support vector machine
- linear regression
- classification models
- ensemble classifier
- sampling methods
- random forest
- class imbalance
- decision trees
- svm classifier
- classification accuracy
- feature vectors
- minority class
- training set
- machine learning