Grow two random forests on two cross-validation folds. Instead of out-of-bag data, the other fold is used to compute permutation importance. Related to the novel permutation variable importance by Janitza et al. (2015).
All arguments are passed to
Hold-out random forests with variable importance.
Marvin N. Wright
Janitza, S., Celik, E. & Boulesteix, A.-L., (2015). A computationally fast variable importance test for random forests for high-dimensional data. Adv Data Anal Classif https://doi.org/10.1007/s11634-016-0276-4.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.