title: How to use RandomForestClassifier for optimal results?
body: <p>I saw <a href="https://stackoverflow.com/questions/31681373/making-svm-run-faster-in-python">this</a> question about improving SVM speed. The <code>RandomForestClassifier</code> works amazingly fast (~140 seconds on dataset of 50000 32X32 RGB images. <em>Just to compare, with regular SVC it took me ~140 for 2500 !! images</em>).</p>
  
  <p>The problem with it is, that it has sub-optimal accuracy (&lt;40% where the regular SVM with much less samples gave 50%). Is it possible to use it with linear / polynomial kernel like the regular <code>SVC(C = 0.01, kernel='poly', degree = 3)</code>)?</p>