Three naive Bayes approaches for discrimination-free classification.
Toon CaldersSicco VerwerPublished in: Data Min. Knowl. Discov. (2010)
Keyphrases
- naive bayes
- classification accuracy
- decision trees
- text classification
- naive bayes classifier
- classification algorithm
- feature selection
- text classifiers
- probabilistic classifiers
- uci datasets
- logistic regression
- naive bayesian classifier
- probability estimation
- uci data sets
- tree augmented naive bayes
- naive bayes classification
- bayesian network classifiers
- conditional independence assumption
- augmented naive bayes
- cost sensitive
- text categorization
- training data
- bayesian classifier
- machine learning algorithms
- bayesian networks
- machine learning
- probability estimates
- combining classifiers
- kernel density estimators
- attribute dependencies
- support vector
- class probabilities
- neural network
- naive bayes models
- training set
- feature vectors
- support vector machine
- training samples
- averaged one dependence estimators
- data analysis
- bayesian classifiers
- highly skewed
- classification error
- feature extraction
- base classifiers
- data sets
- data mining
- machine learning methods
- class labels