Decision trees as possibilistic classifiers.
Ilyes JenhaniNahla Ben AmorZied ElouediPublished in: Int. J. Approx. Reason. (2008)
Keyphrases
- decision trees
- naive bayes
- machine learning algorithms
- training data
- decision tree induction
- predictive accuracy
- decision tree classifiers
- logistic regression
- classification models
- training set
- machine learning
- high predictive accuracy
- bayes classifier
- random forests
- decision tree algorithm
- decision rules
- rule induction
- classification rules
- probability estimates
- test set
- ensemble methods
- combining classifiers
- feature construction
- induction algorithms
- nearest neighbour
- ensemble learning
- random forest
- possibility theory
- classification trees
- rule sets
- accurate classifiers
- class labels