title: Random Forest with two predictors
body: <p>I'm using random forest to estimate the importance (%IncMSE) of a number of predictors. Afterwards, I use a combination of all predictors but one, and I calculate their importance again.
  RandomForest works in theory even when only two predictors are used, but I'm wondering if it makes sense if the mtry parameter is set to 1. If I'm correct, this would means that at each iteration random forest fits the tree with only one of the two predictors. 
  If I only had to make a model with only two predictors, Random Forest would haven't been my first choice, but I don't know if it sounds sensible to use two different stats for a similar task in the same paper.
  Do you think I should also use Random Forest with two predictors too? Or another model would be more appropriate?
  Thanks</p>