Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification [Research Frontier].
Wenbin PeiBing XueLin ShangMengjie ZhangPublished in: IEEE Comput. Intell. Mag. (2021)
Keyphrases
- cost sensitive
- binary classifiers
- genetic programming
- binary classification
- multiclass classification
- multi class
- naive bayes
- misclassification costs
- cost sensitive classification
- cost sensitive learning
- high dimensional
- class probabilities
- probability estimates
- classification algorithm
- boosting algorithms
- support vector
- class imbalance
- classification accuracy
- class distribution
- support vector machine
- decision trees
- classification models
- svm classifier
- active learning
- training set
- class labels
- classification rules
- machine learning algorithms
- evolutionary algorithm
- probability estimation
- linear classifiers
- low dimensional
- feature selection
- classifier combination
- training data
- feature set
- multi class classification
- training samples
- text categorization
- test set
- high dimensionality
- dimensionality reduction
- support vector machine svm
- minority class
- multi label
- neural network