Cost-Sensitive Learning based on Performance Metric for Imbalanced Data.
Yuri Sousa AurelioGustavo Matheus de AlmeidaCristiano Leite de CastroAntônio de Pádua BragaPublished in: Neural Process. Lett. (2022)
Keyphrases
- cost sensitive learning
- imbalanced data
- class imbalance
- class distribution
- imbalanced datasets
- minority class
- cost sensitive
- misclassification costs
- active learning
- sampling methods
- probability estimation
- missing values
- training set
- rule extraction
- training data
- decision trees
- binary classification
- classification models
- learning models
- concept drift
- test set
- small number
- multi class
- ensemble methods
- linear regression
- high dimensionality
- training samples
- image classification
- rough sets
- support vector machine