Investigating the Effect of Randomly Selected Feature Subsets on Bagging and Boosting.
Guan-Wei WangChun-Xia ZhangGao GuoPublished in: Commun. Stat. Simul. Comput. (2015)
Keyphrases
- randomly selected
- ensemble methods
- feature subset
- ensemble feature selection
- ensemble learning
- weak classifiers
- feature selection
- base classifiers
- feature subset selection
- random forests
- ensemble classification
- prediction accuracy
- generalization ability
- ensemble members
- random selection
- classification accuracy
- machine learning methods
- decision trees
- random forest
- benchmark datasets
- classifier ensemble
- selected features
- base learners
- genetic algorithm ga
- feature selection algorithms
- learning algorithm
- ensemble classifier
- feature set
- irrelevant features
- machine learning
- decision stumps
- classification models
- training set
- feature space
- weak learners
- redundant features
- selection algorithm
- svm classifier