Increasing Diversity in Random Forests Using Naive Bayes.
Christos K. AridasSotiris B. KotsiantisMichael N. VrahatisPublished in: AIAI (2016)
Keyphrases
- random forests
- naive bayes
- decision trees
- logistic regression
- random forest
- naive bayes classifier
- class probabilities
- classification accuracy
- ensemble methods
- classification algorithm
- training data
- text classification
- machine learning algorithms
- base classifiers
- text categorization
- information gain
- cost sensitive
- bayesian networks
- text classifiers
- regression trees
- bayesian network classifiers
- averaged one dependence estimators
- training set
- machine learning
- feature selection
- classification trees
- neural network
- attribute dependencies
- data sets
- multi label
- support vector
- feature extraction
- face recognition
- classifier ensemble