OKC classifier: an efficient approach for classification of imbalanced dataset using hybrid methodology.
Ashok Kumar BathlaShally BansalMunish KumarPublished in: Soft Comput. (2022)
Keyphrases
- imbalanced datasets
- cost sensitive learning
- classification algorithm
- support vector
- support vector machine
- svm classifier
- class labels
- decision trees
- feature space
- feature selection
- classification models
- decision boundary
- rare class
- training dataset
- training samples
- machine learning
- image classification
- ensemble classifier
- pattern classification
- binary classifiers
- text classification
- training set
- feature set
- cost sensitive
- class distribution
- classification accuracy
- multi class
- learning algorithm
- feature vectors
- machine learning methods
- benchmark datasets
- nearest neighbour
- ensemble methods
- decision rules
- imbalanced data
- machine learning algorithms