title: Random Forest Classifier vs Kl-divergence based classification
body: <p>If we have a raw data (values of PDF functions) that need to be classified using Random Forest or KL-divergence.
  Is there any theoretical method to check which one outperforms the other?
  Or just I need to try both classifiers and test which one is better?</p>