Reinforcement learning-based cost-sensitive classifier for imbalanced fault classification.
Xinmin ZhangSaite FanZhihuan SongPublished in: Sci. China Inf. Sci. (2023)
Keyphrases
- cost sensitive
- cost sensitive classification
- cost sensitive learning
- class imbalance
- misclassification costs
- class distribution
- reinforcement learning
- class probabilities
- multiclass classification
- multi class
- probability estimates
- class dependent
- support vector machine
- binary classification
- minority class
- naive bayes
- active learning
- classification algorithm
- binary classifiers
- fraud detection
- error rate
- decision trees
- feature selection
- feature set
- classification accuracy
- classification models
- class labels
- feature vectors
- learning algorithm
- random sampling
- training set
- feature space
- cost sensitive boosting