Influence of Hyperparameters on Random Forest Accuracy.

Simon Bernard Laurent Heutte Sébastien Adam

Published in: MCS (2009)

Keyphrases

random forest
grid search
fold cross validation
hyperparameters
decision trees
decision tree learning algorithms
feature set
ensemble methods
model selection
cross validation
multi label
closed form
error rate
benchmark datasets
base classifiers
prediction accuracy
bayesian inference
em algorithm
knn
support vector