Variable selection and prediction of uniaxial compressive strength and modulus of elasticity by random forest.
S. S. MatinLeila FarahzadiS. MakaremiS. Chehreh ChelganiGh. SattariPublished in: Appl. Soft Comput. (2018)
Keyphrases
- random forest
- variable selection
- random forests
- prediction accuracy
- decision trees
- ensemble methods
- cross validation
- input variables
- feature set
- model selection
- high dimensional
- ensemble classifier
- dimension reduction
- multi label
- feature selection
- high dimensional data
- text categorization
- test data
- logistic regression
- base classifiers
- semi supervised learning
- evolutionary algorithm
- object recognition
- random projections
- genetic algorithm