Scikit-Learn - Learned model description? Is there a way I can "look inside" a model once it's trained? For example, if I train a spam filter with a multinomialNB, is there a way I can extract which words are most likely to make an email classify as spam? I'd like to see how the models determine the outcome once fitted.
For the particular case of the MultinomialNB you can look here. 

However if want you want is to determine which features are the most important, the SelectFromModel for selecting the most important features for the model.