I need to determine the relative contribution (importance) of a set of features (variables) to a classification using the Random Forest Algorithm. (After I have determined the importance of the features I will then perform a classification based on the most important, or best combination of, features.)
I don't have programming or Python skills. Is there a tool or function in IMAGINE that can perform this task?
Solved! Go to Solution.
The Classify Using Machine Learning operator has an output port called Training Attribute Importances, which will give you the information you are looking for.
Note that if you then decide to cut down the attributes used you will need to re-train (Initialize) the Random Forest based on that subset of attributes.