How to get score of prediction from random forest

Question

I'm using sklearn's Random Forest classifier for a model I've built. When using it for predictions, I was wondering if there's a way to get the certainty level of the predictions ? Please help.

Answer 1

Well, there's a built-in method for this in the RandomForestClassifier. It is called forest.predict_proba(X). Random forest classifier creates a set of decision trees from a randomly selected subset of the training set. It then aggregates the votes from different decision trees to decide the final class of the test object.

I hope this helps.