An Experimental Investigation of Calibration Techniques for Imbalanced Data.
Lanlan HuangJunkai ZhaoBing ZhuHao ChenSeppe K. L. M. vanden BrouckePublished in: IEEE Access (2020)
Keyphrases
- imbalanced data
- linear regression
- learning from imbalanced data
- ensemble methods
- feature selection
- imbalanced datasets
- sampling methods
- class distribution
- decision trees
- support vector machine
- classification models
- random forest
- high dimensionality
- ensemble classifier
- ensemble learning
- machine learning
- learning algorithm
- base classifiers
- class imbalance
- training data
- feature extraction