Keyphrases
- imbalanced datasets
- base classifiers
- ensemble methods
- imbalanced data
- ensemble learning
- minority class
- imbalanced class distribution
- class distribution
- sampling methods
- base learners
- decision trees
- boosting algorithms
- multi class
- ensemble classifier
- prediction accuracy
- classification error
- random forest
- cost sensitive
- cost sensitive learning
- training set
- class imbalance
- benchmark datasets
- random forests
- generalization ability
- rare class
- decision boundary
- machine learning methods
- meta learning
- naive bayes
- random sampling
- weak classifiers
- class labels
- test data
- training samples
- sampling algorithm
- misclassification costs
- binary classification
- training data
- fraud detection
- training dataset
- feature set
- original data
- machine learning