A Hybrid Approach for Binary Classification of Imbalanced Data.
Hsin-Han TsaiTa-Wei YangWai-Man WongCheng-Fu ChouPublished in: CoRR (2022)
Keyphrases
- binary classification
- imbalanced data
- class imbalance
- ensemble methods
- support vector machine
- cost sensitive
- class distribution
- multi class
- support vector
- multi class classification
- prediction accuracy
- learning problems
- minority class
- machine learning methods
- sampling methods
- feature selection
- benchmark datasets
- active learning
- decision trees
- svm classifier
- binary classifiers
- cost sensitive learning
- ensemble learning
- base classifiers
- support vector machine svm
- high dimensionality
- multi label
- generalization error
- markov random field
- small number
- kernel function
- ensemble classifier
- machine learning
- training data
- decision boundary
- semi supervised learning
- kernel methods