Pruning Decision Trees with Misclassification Costs.
Jeffrey P. BradfordClayton KunzRon KohaviClifford BrunkCarla E. BrodleyPublished in: ECML (1998)
Keyphrases
- misclassification costs
- decision trees
- naive bayes
- cost sensitive learning
- cost sensitive
- probability estimates
- class distribution
- cost sensitive classification
- classification error
- training examples
- training data
- base classifiers
- training set
- decision tree induction
- probability estimation
- decision rules
- total cost
- classification algorithm
- reduced error pruning
- machine learning
- class imbalance
- machine learning algorithms
- classification trees
- text classification
- multi class
- unbalanced data
- ensemble methods
- roc curve
- binary classifiers
- support vector machine
- classification accuracy
- active learning
- graph cuts
- data sets