Scaling Up the Accuracy of Decision-Tree Classifiers: A Naive-Bayes Combination.
Liangxiao JiangChaoqun LiPublished in: J. Comput. (2011)
Keyphrases
- naive bayes
- decision trees
- decision tree classifiers
- classification accuracy
- uci data sets
- probability estimation
- logistic regression
- naive bayes classifier
- text classification
- combining classifiers
- training data
- highly skewed
- classification algorithm
- text categorization
- cost sensitive
- feature selection
- bayesian classifier
- base classifiers
- prediction accuracy
- training set
- bayesian networks
- averaged one dependence estimators
- feature space
- rule learning
- augmented naive bayes
- attribute dependencies
- decision forest
- data sets
- independence assumption
- random forests
- machine learning algorithms
- feature set
- natural language processing
- feature vectors
- support vector
- learning algorithm
- neural network