A novel twin-support vector machine for binary classification to imbalanced data.
Jingyi LiShiwei ChaoPublished in: Data Technol. Appl. (2023)
Keyphrases
- binary classification
- imbalanced data
- support vector machine
- multi class
- svm classifier
- support vector
- multi class classification
- support vector machine svm
- decision boundary
- feature selection
- training data
- cost sensitive
- machine learning
- kernel function
- kernel methods
- generalization ability
- k nearest neighbor
- ensemble classifier
- feature space
- class imbalance
- ensemble methods
- feature vectors
- training set
- hyperplane
- classification algorithm
- minority class
- learning problems
- decision trees
- binary classifiers
- knn