Genetic programming for development of cost-sensitive classifiers for binary high-dimensional unbalanced classification.
Wenbin PeiBing XueLin ShangMengjie ZhangPublished in: Appl. Soft Comput. (2021)
Keyphrases
- cost sensitive
- genetic programming
- binary classifiers
- binary classification
- cost sensitive classification
- multiclass classification
- naive bayes
- multi class
- misclassification costs
- cost sensitive learning
- class probabilities
- high dimensional
- classification accuracy
- probability estimates
- support vector machine
- classification algorithm
- class imbalance
- active learning
- decision trees
- boosting algorithms
- support vector
- class distribution
- training data
- svm classifier
- feature space
- training samples
- evolutionary algorithm
- high dimensionality
- classification models
- class labels
- neural network
- classification rules
- multi class classification
- text classification
- ensemble classifier
- classifier combination
- machine learning algorithms
- base classifiers
- error rate
- feature set
- feature extraction
- feature selection
- machine learning methods
- support vector machine svm
- low dimensional
- image classification
- nearest neighbor
- feature vectors