# Random Forests with correlated features

In my dataset, I have 2 features that are not only correlated but that makes sense only in the presence of each other. For instance, one would be the number of times a task was attempted and the other one would be the number of successes.

As mentioned, it seems to be me that taken one of the 2 individually does not give any information. Should I do a scheme where if I pick one of them in a tree of my RF, I automatically include the other one?

And if so, is it possible to do so using the RF class from scikit-learn?

Thanks!