Reducing the classification cost of support vector classifiers through an ROC-based reject rule.
Francesco TortorellaPublished in: Pattern Anal. Appl. (2004)
Keyphrases
- classification accuracy
- classification rules
- pattern recognition
- cost sensitive
- machine learning
- cost sensitive classification
- roc curve
- decision trees
- automatic classification
- feature extraction
- receiver operating characteristic
- feature vectors
- rule learning
- benchmark datasets
- classification algorithm
- knn
- pattern classification
- classification scheme
- support vector machine
- rule discovery
- cost sensitive learning
- support vector machine svm
- training samples
- rule generation
- classification process
- classification models
- supervised classification
- class imbalance
- feature space
- supervised learning
- machine learning methods
- classification method
- text classification
- image classification