Imbalanced classification of mental workload using a cost-sensitive majority weighted minority oversampling strategy.
Jianhua ZhangXiqing CuiJianrong LiRubin WangPublished in: Cogn. Technol. Work. (2017)
Keyphrases
- cost sensitive
- class imbalance
- minority class
- class distribution
- cost sensitive learning
- cost sensitive classification
- class imbalanced
- multi class
- misclassification costs
- binary classification
- imbalanced data
- imbalanced data sets
- highly imbalanced
- fraud detection
- active learning
- support vector machine
- sampling methods
- class dependent
- cost sensitive boosting
- learning algorithm
- machine learning
- classification accuracy
- classification algorithm
- probability estimates
- base learners
- decision trees
- feature vectors
- nearest neighbour
- linear classifiers
- naive bayes
- benchmark datasets
- missing values
- test data