Ensembles of feature selectors for dealing with class-imbalanced datasets: A proposal and comparative study.
Aida de Haro-GarcíaGonzalo Cerruela GarcíaNicolás García-PedrajasPublished in: Inf. Sci. (2020)
Keyphrases
- comparative study
- imbalanced datasets
- ensemble methods
- imbalanced data
- decision trees
- learning from imbalanced data
- cost sensitive learning
- class distribution
- class imbalance
- minority class
- sampling methods
- training dataset
- random forests
- feature selection algorithms
- machine learning methods
- ensemble learning
- random forest
- benchmark datasets
- feature subset
- prediction accuracy
- feature vectors
- data sets
- generalization ability