Note on "A Comprehensive Analysis of Synthetic Minority Oversampling Technique (SMOTE) for handling class imbalance".
Carlos A. FerrerEfren AragónPublished in: Inf. Sci. (2023)
Keyphrases
- comprehensive analysis
- class imbalance
- minority class
- class imbalanced
- majority class
- class distribution
- imbalanced data
- imbalanced datasets
- cost sensitive
- active learning
- imbalanced data sets
- high dimensionality
- sampling methods
- cost sensitive learning
- training data
- training set
- feature selection
- misclassification costs
- rare events
- classification error
- machine learning
- nearest neighbour
- test data
- learning algorithm
- test set
- training samples