Keep the Decision Tree and Estimate the Class Probabilities Using its Decision Boundary.
Isabelle AlvarezStephan BernardGuillaume DeffuantPublished in: IJCAI (2007)
Keyphrases
- class probabilities
- decision boundary
- decision trees
- naive bayes
- training set
- pattern classification
- training samples
- multi class
- base classifiers
- data points
- hyperplane
- support vector machine
- nearest neighbor
- data distribution
- linear classifiers
- probability estimates
- random forests
- probability estimation
- support vectors
- classification trees
- machine learning
- kernel function
- training data
- cost sensitive
- class distribution
- input space
- cross validation
- test set
- text categorization
- unlabeled data
- knn
- binary classifiers
- feature space
- feature extraction
- data sets