Making Classifier Chains Resilient to Class Imbalance.
Bin LiuGrigorios TsoumakasPublished in: CoRR (2018)
Keyphrases
- class imbalance
- cost sensitive learning
- majority class
- binary classification problems
- minority class
- class distribution
- feature selection
- cost sensitive
- active learning
- training data
- highly skewed
- imbalanced datasets
- sampling methods
- training set
- high dimensionality
- feature space
- small disjuncts
- concept drift
- training samples
- support vector
- imbalanced data
- decision trees
- support vector machine
- classification error
- data sets
- pattern classification
- training instances
- learning environment
- class labels
- multi class