Self-adaptive oversampling method based on the complexity of minority data in imbalanced datasets classification.
Xinmin TaoXinyue GuoYujia ZhengXiaohan ZhangZhiyu ChenPublished in: Knowl. Based Syst. (2023)
Keyphrases
- test data
- sampling methods
- input data
- imbalanced datasets
- data sets
- training samples
- support vector machine svm
- classification accuracy
- majority class
- raw data
- high dimensional data
- missing data
- decision rules
- class imbalance
- missing values
- model selection
- feature set
- feature space
- decision trees
- high dimensional
- original data
- pattern classification
- class distribution
- machine learning
- data distribution
- feature vectors
- high dimensionality
- linear regression
- feature selection algorithms
- support vector
- cost sensitive learning