Generalized Conditional Entropy and a Metric Splitting Criterion for Decision Trees.
Dan A. SimoviciSzymon JaroszewiczPublished in: PAKDD (2006)
Keyphrases
- conditional entropy
- decision trees
- information theory
- mutual information
- relative entropy
- information theoretic
- bayes error rate
- metric space
- random forest
- decision tree induction
- predictive accuracy
- data mining methods
- normalized mutual information
- machine learning
- evaluation metrics
- similarity metric
- classification trees
- feature construction
- computer vision
- training data
- decision tree learning
- error rate
- minimum description length
- decision tree algorithm
- attribute selection
- binary images
- rule induction
- base classifiers
- decision rules