A Systematic Approach for Variable Selection With Random Forests: Achieving Stable Variable Importance Values.
Amir BehnamianKoreen MillardSarah N. BanksLori WhiteMurray RichardsonJon PasherPublished in: IEEE Geosci. Remote. Sens. Lett. (2017)
Keyphrases
- variable selection
- random forests
- input variables
- random forest
- decision trees
- cross validation
- linear models
- logistic regression
- high dimensional
- ensemble methods
- machine learning algorithms
- model selection
- dimension reduction
- ls svm
- regression problems
- neural network
- decision tree ensembles
- genetic programming
- machine learning
- high dimensional data
- machine learning methods
- benchmark datasets
- pattern recognition
- support vector
- reinforcement learning
- training data