Hyperparameters and Tuning Strategies for Random Forest.
Philipp ProbstMarvin N. WrightAnne-Laure BoulesteixPublished in: CoRR (2018)
Keyphrases
- random forest
- hyperparameters
- model selection
- cross validation
- closed form
- decision trees
- bayesian inference
- random sampling
- bayesian framework
- parameter settings
- feature set
- em algorithm
- noise level
- sample size
- prior information
- support vector
- maximum likelihood
- fold cross validation
- maximum a posteriori
- multi label
- incremental learning
- ensemble methods
- incomplete data
- base classifiers
- machine learning algorithms
- semi supervised
- probabilistic model
- learning algorithm
- data sets