ECS-SMOTE: A New Over-Sampling Method for Example-Dependent Costs Classification.
Hongwei YangZhenyu ZhangPublished in: ICIC (13) (2024)
Keyphrases
- decision trees
- imbalanced data sets
- pattern recognition
- classification accuracy
- feature extraction
- image classification
- cost sensitive learning
- class imbalance
- feature space
- pattern classification
- cross validation
- machine learning
- total cost
- classification models
- benchmark datasets
- text classification
- feature vectors
- support vector
- feature selection
- machine learning algorithms
- support vector machine svm
- model selection
- benchmark data sets
- roc curve
- data sets