# 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.

• I have not worked with multinomialNB before, but I see that it has the coef_ property. Extracting the model coefficients is one way to 'look inside' the model. Feb 9 '17 at 22:44