title: Random Forest - Max Features
body: <p>I do have a question and I need your support. I have a data set which I am analyzing. I need to predict a target. To do this I did some data cleaning, among others drop highly (linear correlated feautes)</p>
  
  <p>After preparing my data I applied random forest regressor (it is a regression problem). I am stucked a bit, since I really cannot catch the meaning and thus the value for <strong>max_features</strong></p>
  
  <p>I found the following page <a href="https://stackoverflow.com/questions/23939750/understanding-max-features-parameter-in-randomforestregressor/23950648#23950648">answer</a>, where it is written </p>
  
  <blockquote>
    <p>features=n_features for regression is a mistake on scikit's part. The original paper for RF gave max_features = n_features/3 for regression</p>
  </blockquote>
  
  <p>I do get different results if I use max_features=sqrt(n) or max_features=n_features</p>
  
  <p>Can any1 give me a good explanation how to approach this parameter?</p>
  
  <p>That would be really great</p>