Interpretable ML for Imbalanced Data.
Damien A. DablainColin BellingerBartosz KrawczykDavid W. AhaNitesh V. ChawlaPublished in: CoRR (2022)
Keyphrases
- imbalanced data
- maximum likelihood
- linear regression
- ensemble methods
- learning from imbalanced data
- class distribution
- support vector machine
- random forest
- imbalanced datasets
- sampling methods
- feature selection
- classification rules
- decision trees
- class imbalance
- ensemble classifier
- svm classifier
- classification models
- prediction accuracy
- decision boundary
- machine learning