An automated approach for binary classification on imbalanced data.
Pedro Marques VieiraFátima RodriguesPublished in: Knowl. Inf. Syst. (2024)
Keyphrases
- binary classification
- imbalanced data
- class imbalance
- ensemble methods
- support vector machine
- class distribution
- cost sensitive
- multi class
- prediction accuracy
- multi class classification
- support vector
- learning problems
- sampling methods
- binary classifiers
- feature selection
- benchmark datasets
- multi label
- base classifiers
- concept drift
- minority class
- ensemble learning
- decision trees
- machine learning
- generalization error
- svm classifier
- cost sensitive learning
- machine learning methods
- active learning
- ensemble classifier
- naive bayes
- training data
- knn
- high dimensionality