An Experimental Study on Combining Binarization Techniques and Ensemble Methods of Decision Trees.
Juan José Rodríguez DiezJosé-Francisco Díez-PastorÁlvar Arnaiz-GonzálezCésar Ignacio García-OsorioPublished in: MCS (2015)
Keyphrases
- ensemble methods
- decision trees
- random forests
- base classifiers
- random forest
- decision tree learning
- prediction accuracy
- ensemble learning
- generalization ability
- benchmark datasets
- decision tree induction
- naive bayes
- logistic regression
- machine learning methods
- drifting concepts
- imbalanced data
- base learners
- majority voting
- decision tree ensembles
- training data
- machine learning
- multiple classifier systems
- ensemble classification
- ensemble feature selection
- bootstrap sampling
- classifier ensemble
- ensemble classifier
- trade off
- classification models