Effect of hyperparameters on variable selection in random forests.
Césaire J. K. FouodoLea L. KronzielInke R. KönigSilke SzymczakPublished in: CoRR (2023)
Keyphrases
- variable selection
- random forests
- hyperparameters
- cross validation
- model selection
- random forest
- regression problems
- logistic regression
- ensemble methods
- support vector
- decision trees
- machine learning algorithms
- gaussian processes
- ls svm
- sample size
- machine learning
- regression model
- random sampling
- training set
- feature selection
- maximum likelihood
- bayesian framework
- bayesian inference
- nearest neighbor
- high dimensional
- data mining
- image segmentation
- genetic algorithm