DRCW-ASEG: One-versus-One distance-based relative competence weighting with adaptive synthetic example generation for multi-class imbalanced datasets.
Zhongliang ZhangXinggang LuoSergio GonzálezSalvador GarcíaFrancisco HerreraPublished in: Neurocomputing (2018)
Keyphrases
- test set
- multi class
- imbalanced datasets
- class distribution
- class imbalance
- cost sensitive
- training data
- multi class classification
- cost sensitive learning
- support vector machine
- binary classification
- pairwise
- feature selection
- misclassification costs
- training dataset
- binary classifiers
- base classifiers
- ensemble methods
- decision trees
- data mining
- linear classifiers
- probability estimation
- sampling methods
- machine learning