Use consistent default parameters for randomForest training

This makes sure that the parameters are sane and consistent
across different training scenarios.

Also print out the results.

Change-Id: I362baa9520ccf59669fa7b1fd9538f9283aa6c26
1 file changed
tree: f80d29c44e2b2763ef0a8d898d270b7cb9de3fc0
  1. data/
  2. R/
  3. idioms.Rproj
  4. readme.txt