Constructing classifiers for imbalanced data using diversity optimisation.
Hadi Akbarzade KhorshidiUwe AickelinPublished in: Inf. Sci. (2021)
Keyphrases
- imbalanced data
- classification models
- ensemble classifier
- imbalanced data sets
- class distribution
- feature selection
- decision trees
- ensemble methods
- linear regression
- random forest
- sampling methods
- support vector machine
- imbalanced datasets
- minority class
- svm classifier
- ensemble learning
- class imbalance
- support vector
- random forests
- naive bayes
- genetic algorithm
- feature set
- data sets