Hybrid Sampling with Bagging for Class Imbalance Learning.
Yang LuYiu-ming CheungYuan Yan TangPublished in: PAKDD (1) (2016)
Keyphrases
- class imbalance learning
- minority class
- imbalanced data
- ensemble learning
- cost sensitive learning
- single class
- skewed data
- decision trees
- class distribution
- multi class
- classification error
- imbalanced datasets
- decision boundary
- ensemble methods
- base classifiers
- class imbalance
- machine learning
- nearest neighbour
- learning algorithm
- cost sensitive
- sampling methods
- feature selection
- sample size
- generalization error
- random forest
- meta learning
- sampling algorithm
- generalization ability
- classifier ensemble
- random forests
- training examples
- model selection
- support vector machine
- pairwise
- training set
- random sampling