Building cost-sensitive decision trees for medical applications.
Alberto FreitasPublished in: AI Commun. (2011)
Keyphrases
- cost sensitive
- decision trees
- naive bayes
- cost sensitive learning
- decision tree algorithm
- probability estimates
- misclassification costs
- multi class
- cost sensitive classification
- base classifiers
- binary classification
- active learning
- class distribution
- class imbalance
- boosting algorithms
- machine learning
- confidence weighted
- decision rules
- machine learning algorithms
- probability estimation
- training data
- learning algorithm
- small number
- information extraction
- support vector machine