The impact of class imbalance in classification performance metrics based on the binary confusion matrix.
Amalia LuqueAlejandro CarrascoAlejandro MartínAna de las HerasPublished in: Pattern Recognit. (2019)
Keyphrases
- class imbalance
- confusion matrix
- binary classification problems
- cost sensitive
- software defect prediction
- active learning
- class distribution
- binary classification
- imbalanced datasets
- cost sensitive learning
- confusion matrices
- high dimensionality
- binary classifiers
- imbalanced data
- minority class
- support vector machine
- majority class
- sampling methods
- class imbalanced
- feature selection
- classification accuracy
- imbalanced data sets
- machine learning
- pattern recognition
- multi class classification
- classification algorithm
- benchmark datasets
- training samples
- semi supervised learning
- feature space
- support vector