A hybrid multi-criteria meta-learner based classifier for imbalanced data.
Hasna ChamlalHajar KamelTayeb OuaderhmanPublished in: Knowl. Based Syst. (2024)
Keyphrases
- multi criteria
- imbalanced data
- ensemble classifier
- support vector machine
- feature selection
- svm classifier
- classification models
- minority class
- class distribution
- base learners
- decision makers
- decision boundary
- decision trees
- ensemble learning
- ensemble methods
- training data
- class imbalance
- multi attribute
- linear regression
- objective function
- random forest
- training set
- fuzzy logic
- fuzzy numbers
- multi objective
- cost sensitive learning
- support vector
- machine learning
- machine learning methods
- classification algorithm
- prediction accuracy
- feature set
- pattern recognition
- test data
- class labels
- linear classifiers
- fusion method
- multi dimensional
- least squares
- classification accuracy