Variable selection using support vector regression and random forests: A comparative study.
Anis Ben IshakPublished in: Intell. Data Anal. (2016)
Keyphrases
- random forests
- variable selection
- random forest
- input variables
- ensemble methods
- cross validation
- high dimensional
- logistic regression
- decision trees
- machine learning algorithms
- linear models
- model selection
- dimension reduction
- feature selection
- ls svm
- prediction accuracy
- pairwise
- machine learning methods
- benchmark datasets
- text classification
- feature extraction
- data mining
- regression problems
- base learners