An AUC-based permutation variable importance measure for random forests.
Silke JanitzaCarolin StroblAnne-Laure BoulesteixPublished in: BMC Bioinform. (2013)
Keyphrases
- random forests
- logistic regression
- decision trees
- random forest
- machine learning algorithms
- ensemble methods
- decision tree ensembles
- model selection
- tree ensembles
- similarity measure
- regression trees
- machine learning methods
- learning algorithm
- naive bayes
- classification accuracy
- image processing
- feature selection
- classification trees
- randomized trees
- data mining