Is it possible to create a protocol similar to “06 Using the Learned Molecular Feature Viewer “ and “07 View Good and Bad Features” “04 Identifying Features with Bias Between Two Categories “ but instead of naive Bayes highlight the fingerprints that correspond to "good" and "bad" and that were important in the classification in say a random forest?

Thank you

Jack