Dealing with class imbalance in classifier chains via random undersampling.
Bin LiuGrigorios TsoumakasPublished in: Knowl. Based Syst. (2020)
Keyphrases
- class imbalance
- majority class
- random subspaces
- cost sensitive learning
- minority class
- class distribution
- feature selection
- active learning
- cost sensitive
- training data
- imbalanced datasets
- sampling methods
- highly skewed
- high dimensionality
- concept drift
- training set
- small disjuncts
- decision trees
- feature set
- feature space
- class labels
- support vector machine
- linear classifiers
- misclassification costs
- machine learning
- attribute selection
- small number
- supervised learning
- training examples
- support vector
- feature extraction
- imbalanced data
- multi class
- training samples
- classification algorithm
- svm classifier
- test set