Undersampling of approaching the classification boundary for imbalance problem.
Lei JiangPeng YuanJing LiaoQiongbing ZhangJianxun LiuKeqin LiPublished in: Concurr. Comput. Pract. Exp. (2023)
Keyphrases
- class imbalance
- classification systems
- pattern recognition
- class labels
- pattern classification
- classification accuracy
- supervised learning
- machine learning
- decision rules
- automatic classification
- text classification
- image classification
- classification models
- supervised classification
- cost sensitive
- cost sensitive learning
- majority class
- high dimensionality
- classification method
- cross validation
- unsupervised learning
- model selection
- feature space
- support vector
- decision trees
- machine learning methods
- class distribution
- classification rate
- data streams
- sampling methods
- imbalanced data
- data sets