Quick question about the stacking classifier. How do I know the order of the features that the final estimator uses? I've got an example which I've created like this (the LGRG and KSVM objects were previously defined, but as they seem they would be):

passThrough = True

finalEstim = DecisionTreeClassifier(random_state=42)
stkClas = StackingClassifier(estimators=[('Logistic Regression', LGRG), ('Kernel SVM', KSVM)],
                             cv=crossValInput, passthrough=passThrough, final_estimator=finalEstim,
                             n_jobs=-1)

Given this setup, I think the features input to the final estimator are

I can find no documentation on this, though, and don't know of any relevant attribute on the final estimator. I need this to help interpret the final estimator tree - and specifically to provide feature labels for plot_tree.

Thanks!

Andrew