Dense fuzzy support vector machine to binary classification for imbalanced data.
Qingling WangJian ZhengWenjing ZhangPublished in: J. Intell. Fuzzy Syst. (2023)
Keyphrases
- binary classification
- imbalanced data
- fuzzy support vector machine
- support vector machine
- class imbalance
- ensemble methods
- multi class
- class distribution
- support vector
- cost sensitive
- multi class classification
- svm classifier
- feature selection
- learning problems
- decision trees
- machine learning
- prediction accuracy
- base classifiers
- support vector machine svm
- minority class
- cost sensitive learning
- active learning
- k nearest neighbor
- binary classifiers
- training set
- sampling methods
- ensemble classifier
- training data
- decision boundary
- feature vectors
- ensemble learning
- classification algorithm
- multi label
- knn
- high dimensionality
- benchmark datasets
- feature space
- generalization error
- concept drift
- hyperplane