A novel twin-support vector machines method for binary classification to imbalanced data.
Jingyi LiShiwei ChaoPublished in: J. Intell. Fuzzy Syst. (2023)
Keyphrases
- binary classification
- support vector machine
- support vector
- classification accuracy
- imbalanced data
- multi class
- cross validation
- binary classifiers
- multi class classification
- prediction accuracy
- ensemble learning
- ensemble methods
- cost sensitive
- learning problems
- sample size
- feature selection
- error rate
- support vector machine svm
- model selection
- feature space
- bayesian networks