title: Sklearn different results with the same random_state across different systems (machines)
body: <p>I have a python script that generates predictions using sklearn Random Forest and fixed random_state = 0. It produces always deterministic results on the one computer (system) but when I switch to another computer, results are different. <br><br>
  Is there a way to make it deterministic across different systems? How to make identical results on a different machine like on the first machine? <br><br></p>
  
  <p>The script is complicated and long so I won't share the code but I think the problem is in Random Forest random_state because when I tried using KNN instead of RF, results were identical</p>