On the Role of Cost-Sensitive Learning in Imbalanced Data Oversampling.
Bartosz KrawczykMichal WozniakPublished in: ICCS (3) (2019)
Keyphrases
- cost sensitive learning
- imbalanced data
- class imbalance
- minority class
- class distribution
- cost sensitive
- imbalanced datasets
- active learning
- misclassification costs
- sampling methods
- probability estimation
- binary classification
- feature selection
- training data
- missing values
- neural network
- concept drift
- training set
- multi class
- learning models
- rule extraction
- support vector machine
- linear regression
- test set
- prediction accuracy
- learning algorithm
- nearest neighbor