On the performance of Matthews correlation coefficient (MCC) for imbalanced dataset.
Qiuming ZhuPublished in: Pattern Recognit. Lett. (2020)
Keyphrases
- correlation coefficient
- imbalanced datasets
- learning from imbalanced data
- cost sensitive learning
- class distribution
- rare class
- class imbalance
- imbalanced data
- ensemble methods
- sampling methods
- training dataset
- standard deviation
- decision trees
- principal components
- random forest
- root mean squared error
- root mean square error
- feature selection algorithms
- minority class
- dimensionality reduction
- association rules
- fraud detection
- machine learning
- test data
- feature selection