title: How can I remove the randomness of a decision tree on sklearn?
body: <p>I'm trying to create a deterministic decision tree in python, but I've some issue.</p>
  
  <p>If I run 2 times my script I get to different Decision Trees, because of the random_state of the algorithm. </p>
  
  <p>I tried to fixed random_state( <code>random_state=0</code>) but It's still not working. </p>
  
  <p>I'd like to remove the randomness of my decision tree but I can t find a clear solution.</p>