Fuzzy prototype selection-based classifiers for imbalanced data. Case study.
Yanela Rodríguez AlvarezMaría Matilde García LorenzoYailé Caballero MotaYaima Filiberto CabreraIsabel M. García HilariónDaniela Machado Montes de OcaRafael Bello PérezPublished in: Pattern Recognit. Lett. (2022)
Keyphrases
- imbalanced data
- prototype selection
- feature selection
- nearest neighbor classifier
- selection algorithm
- imbalanced data sets
- ensemble classifier
- linear regression
- nearest neighbor
- nearest neighbor classification
- classification models
- ensemble methods
- decision boundary
- random forest
- minority class
- sampling methods
- support vector machine
- decision trees
- class distribution
- class imbalance
- svm classifier
- support vector
- data sets
- linear classifiers
- ensemble learning
- feature subset
- prediction accuracy
- naive bayes