RUE: A robust personalized cost assignment strategy for class imbalance cost-sensitive learning.
Shanlin ZhouYan GuHualong YuXibei YangShang GaoPublished in: J. King Saud Univ. Comput. Inf. Sci. (2023)
Keyphrases
- cost sensitive learning
- class imbalance
- cost sensitive
- imbalanced datasets
- class distribution
- misclassification costs
- binary classification
- active learning
- multi class
- concept drift
- minority class
- missing values
- high dimensionality
- e learning
- sampling methods
- probability estimation
- multi class problems
- total cost
- support vector
- multi class classification
- learning models
- training data
- feature selection