score in binary classification with imbalanced data.
Namgil LeeHeejung YangHojin YooPublished in: CoRR (2021)
Keyphrases
- binary classification
- imbalanced data
- class imbalance
- ensemble methods
- support vector machine
- cost sensitive
- class distribution
- multi class
- learning problems
- multi class classification
- support vector
- prediction accuracy
- sampling methods
- binary classifiers
- ensemble learning
- benchmark datasets
- generalization error
- minority class
- multi label
- feature selection
- base learners
- active learning
- cost sensitive learning
- decision trees
- learning algorithm
- decision boundary
- base classifiers
- feature vectors
- machine learning
- cross validation
- kernel function
- support vector machine svm
- k nearest neighbor