Using Decision Tree Models and Diversity Measures in the Selection of Ensemble Classification Models.
Mordechai Gal-OrJerrold H. MayWilliam E. SpanglerPublished in: Multiple Classifier Systems (2005)
Keyphrases
- classification models
- diversity measures
- decision trees
- ensemble classifier
- training data
- feature selection
- models built
- decision tree algorithm
- feature set
- attribute selection
- machine learning
- software quality classification
- feature subset
- learned models
- random forest
- feature ranking
- prediction accuracy
- machine learning algorithms
- ensemble methods
- base classifiers
- data fusion
- majority voting
- naive bayes
- training set
- neural network