title: Minimum number of observation when performing Random Forest
body: <p>Is it possible to apply RandomForests to very small datasets?
  I have a dataset with many variables but only 25 observation each. Random forests produce reasonable results with low OOB errors (10-25%).
  Is there any rule of thumb regarding the minimum number of observations to use?
  In fact one of the response variable is unbalanced, and if I'm going to subsample it I will end up with an even smaller number of observations.
  Thanks in advance</p>