An empirical study of dynamic selection and random under-sampling for the class imbalance problem.
Shuhua Monica LiuJiun-Hung ChenZhiqiang LiuPublished in: Expert Syst. Appl. (2023)
Keyphrases
- class imbalance
- random subspaces
- class distribution
- active learning
- cost sensitive
- imbalanced datasets
- cost sensitive learning
- imbalanced data
- high dimensionality
- sampling methods
- feature selection
- software defect prediction
- majority class
- imbalanced data sets
- small disjuncts
- concept drift
- remote sensing
- training set
- data sets
- minority class
- training examples
- bayesian networks
- class noise
- data analysis
- pattern recognition