An experimental study on evolutionary fuzzy classifiers designed for managing imbalanced datasets.
Michela AntonelliPietro DucangeFrancesco MarcelloniPublished in: Neurocomputing (2014)
Keyphrases
- imbalanced datasets
- evolutionary fuzzy
- imbalanced data
- support vector
- decision trees
- sampling methods
- class distribution
- feature selection algorithms
- training data
- minority class
- training samples
- evolutionary computing
- training set
- genetic programming
- class imbalance
- cost sensitive learning
- linear classifiers
- ensemble learning
- test set
- training examples
- text classification
- fuzzy controller
- training dataset
- classification models
- decision boundary
- nearest neighbour
- support vector machine
- ensemble methods
- machine learning methods
- prediction accuracy
- feature selection