15. An automatic document classification system comprising: a processor coupled to a memory; stored instructions executable by the processor for: creating a classification model for classifying digital content, wherein creating the classification model comprises: prompting a user via a user interface to enter a name and description for the classification model, and responsive to user selection of one or more documents via the user interface, adding or importing, from a document source into a container, the selected one or more documents as exemplars for a category of digital content within the classification model; subsequent to a user selecting a plurality of documents, classifying the plurality of documents using characteristics of the exemplars; determining performance metrics representing accuracy of the classification model in classifying the plurality of documents, the performance metrics including precision, recall, match, noise, and silence metrics; and determining one or more recommended actions based on the performance metrics; a display for displaying, during the classifying, after the classifying is complete, or both during the classifying and after the classifying is complete, the performance metrics including the precision, recall, match, noise, and silence metrics for a number of the plurality of documents that have been classified using the classification model and for displaying a user feedback guide that presents the one or more recommended actions to improve the accuracy of the classification model, wherein the one or more recommended actions comprise adding one or more exemplars from the number of the plurality of documents that have classified using the classification model or specifying how to meet one or more associated content classification rules; and a user interface element associated with the user feedback guide that, in response to receipt of user input, causes a recommended action to be performed on the classification model.
17. The system as claimed in claim 15 wherein the user feedback guide presents a recommended action to review a greater number of classified documents to improve a confidence level.