Cost-sensitive performance metric for comparing multiple ordinal classifiers.
Nysia I. GeorgeTzu-Pin LuChing-Wei ChangPublished in: Artif. Intell. Res. (2016)
Keyphrases
- cost sensitive
- naive bayes
- multi class
- misclassification costs
- probability estimates
- cost sensitive classification
- cost sensitive learning
- binary classification
- boosting algorithms
- decision trees
- class distribution
- active learning
- support vector
- training data
- binary classifiers
- support vector machine
- machine learning algorithms
- classification accuracy
- class imbalance
- linear classifiers
- multi class classification
- base classifiers
- bayesian networks
- machine learning methods
- similarity measure