Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers.
Bianca ZadroznyCharles ElkanPublished in: ICML (2001)
Keyphrases
- probability estimates
- naive bayesian classifiers
- naive bayes
- naive bayesian classifier
- decision trees
- probability estimation
- cost sensitive
- logistic regression
- classification accuracy
- bayesian classifier
- text classification
- classification algorithm
- misclassification costs
- training data
- feature selection
- classification models
- base classifiers
- roc curve
- test instances
- machine learning algorithms
- text categorization
- training set
- empirical evidence
- posterior probability
- classification trees
- machine learning