Exercise

Hyperparameters in Stochastic Gradient Boosting

In the previous lesson, you built a Stochastic Gradient Boosting model in caret. A similar model as the one from before has been preloaded as gbm_model. In order to optimize this model, you want to tune its hyperparameters. Which of the following is NOT a hyperparameter of the gbm method?

Note: The library caret has also been preloaded.

Instructions

50 XP

Possible Answers

n.trees
n.minobsinnode
na.action
interaction.depth