Binary Classification with Imbalanced Data.
Jyun-You ChiangYuhlong LioChien-Ya HsuChia-Ling HoTzong-Ru TsaiPublished in: Entropy (2024)
Keyphrases
- binary classification
- imbalanced data
- class imbalance
- ensemble methods
- support vector machine
- class distribution
- cost sensitive
- multi class
- support vector
- prediction accuracy
- minority class
- multi class classification
- feature selection
- active learning
- learning problems
- sampling methods
- benchmark datasets
- svm classifier
- cost sensitive learning
- binary classifiers
- generalization error
- decision trees
- ensemble classifier
- ensemble learning
- multi label
- base classifiers
- high dimensionality
- support vector machine svm
- machine learning methods
- text categorization
- feature vectors
- training data
- kernel methods
- machine learning