Cannot Reproduce Result scikit-learn random forest

[umair]

I'm running some machine learning experiments in databricks. For random forest algorithm when i restart the cluster, each time the training output is changes even though random state is set. Anyone has any clue about this issue?

Note : I tried the same algorithm with same code in anacoda enviroment in my local machine, there is no different in the result even though I restart the machine.

[Kaniz]

Hi @umair ramzan​ ! My name is Kaniz, and I'm the technical moderator here. Great to meet you, and thanks for your question! Let's see if your peers in the community have an answer to your question first. Or else I will get back to you soon. Thanks.

[-werners- · Accepted solution]

RF is non-deterministic by it´s nature.

However as you mentioned you can control this by using random_state.

This will guarantee a deterministic result ON A CERTAIN SYSTEM, but not necessarily over systems.

SO has a topic about this, check it out, very interesting.

[Kaniz]

Hi @umair ramzan​ , Were you able to reproduce the result using scikit-learn random forest?