[Solved] Machine learning, Splunk, feature importance in Random Forest Regressor or Random Forest Classifier?  


New Member
Joined: 3 months ago
Posts: 2
21/01/2019 3:58 am  

I have a new fuel battery ML project. There are procedures1000 to manufacture new fuel battery. What I am trying to do at this stage is to check which procedure/feature is the most influential/effect on final battery quality: (Capacity, resistence, voltage).

I have splunk ML toolbo splunk-training x, I could see there is andRandomForestClassifier RandomForestRegressoralgorithms. Which algorithm I shall use so that I could utilize the model's methodfeature importance to point out the most effect/influential procedure/feature to battery quality.


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