A Comprehensive Study of the Effect of Class Imbalance on the Performance of Classifiers.
Rodica PotoleaCamelia LemnaruPublished in: ICEIS (1) (2011)
Keyphrases
- class imbalance
- majority class
- minority class
- imbalanced data sets
- class distribution
- binary classification problems
- imbalanced data
- active learning
- feature selection
- multi class problems
- class imbalanced
- imbalanced datasets
- cost sensitive learning
- cost sensitive
- sampling methods
- decision trees
- concept drift
- training set
- high dimensionality
- training data
- small disjuncts
- support vector
- ensemble classifier
- test set
- machine learning algorithms
- naive bayes
- training examples
- classification algorithm
- ensemble learning
- class labels
- nearest neighbour
- decision boundary
- training samples
- knn
- linear classifiers
- machine learning methods
- rare class