title: Are RandomForestRegressor features handles as categories?
body: <p>i'm using <strong>RandomForestRegressor</strong> (from the great Scikt-Learn library in python) for my project,
  it gives me good results, but i think i can do better.
  when i'm giving features to 'fit(..)' function, 
  is it better to make categorical features as binary features?</p>
  
  <p>example:
  instead of:</p>
  
  <pre><code>===========
  continent |
  ===========
       1    |
  ===========
       2    |
  ===========
       3    |
  ===========
       2    |
  ===========
  </code></pre>
  
  <p>make something like:</p>
  
  <pre><code>===========================
  is_europe | is_asia   | ...
  ===========================
      1     |     0     |
  ===========================
      0     |     1     |
  ===========================
  </code></pre>
  
  <p>because its working as a tree maybe the second option is better,
  or does it will work the same for the first option?
  thanks alot!</p>