Cost-sensitive learning strategies for high-dimensional and imbalanced data: a comparative study.
Barbara PesGiuseppina LaiPublished in: PeerJ Comput. Sci. (2021)
Keyphrases
- learning strategies
- cost sensitive
- imbalanced data
- class distribution
- high dimensional
- class imbalance
- active learning
- misclassification costs
- cost sensitive learning
- high dimensionality
- base classifiers
- multi class
- support vector machine
- online learning
- binary classification
- minority class
- naive bayes
- dimensionality reduction
- low dimensional
- sampling methods
- cost sensitive boosting
- high dimensional data
- feature space
- data points
- ensemble methods
- supervised learning
- nearest neighbor
- feature selection
- random sampling
- linear regression
- ensemble classifier
- pairwise
- machine learning