Cost-Sensitive Pruning of Decision Trees.
Ulrich KnollGholamreza NakhaeizadehBirgit TausendPublished in: ECML (1994)
Keyphrases
- cost sensitive
- decision trees
- naive bayes
- decision tree algorithm
- cost sensitive learning
- probability estimates
- misclassification costs
- multi class
- reduced error pruning
- cost sensitive classification
- base classifiers
- binary classification
- class distribution
- machine learning algorithms
- class imbalance
- active learning
- support vector machine
- ensemble methods
- machine learning
- probability estimation
- boosting algorithms
- training data
- training set
- confidence weighted
- classification accuracy
- multi class classification
- prediction accuracy
- text categorization