Imbalanced classification using genetically optimized cost sensitive classifiers.
Todd PerryMohamed Bahy Bader-El-DenSteven CooperPublished in: CEC (2015)
Keyphrases
- cost sensitive
- class imbalance
- cost sensitive classification
- class distribution
- naive bayes
- cost sensitive learning
- imbalanced data sets
- minority class
- misclassification costs
- multi class
- binary classification
- boosting algorithms
- binary classifiers
- classification algorithm
- decision trees
- imbalanced data
- active learning
- classification accuracy
- support vector machine
- training set
- support vector
- decision boundary
- training data
- training samples
- feature selection
- svm classifier
- roc curve
- linear classifiers
- text categorization
- nearest neighbour
- supervised learning
- class labels
- model selection
- semi supervised
- feature set
- image classification
- text classification
- feature vectors
- test set
- error rate