Applying Threshold SMOTE Algoritwith Attribute Bagging to Imbalanced Datasets.
Jin WangBo YunPingli HuangYu-Ao LiuPublished in: RSKT (2013)
Keyphrases
- imbalanced datasets
- imbalanced data
- ensemble methods
- learning from imbalanced data
- decision trees
- class distribution
- sampling methods
- prediction accuracy
- cost sensitive learning
- linear regression
- highly skewed
- class imbalance
- random forests
- ensemble learning
- benchmark datasets
- imbalanced data sets
- support vector machine
- machine learning methods
- ensemble classifier
- machine learning
- random forest
- feature selection
- base classifiers
- classification models
- attribute values
- base learners
- cost sensitive
- minority class
- training set
- generalization ability
- feature selection algorithms
- svm classifier
- model selection
- training data