The second key metric for measuring predictive-coding accuracy, precision refers to the percentage of documents identified as belonging to a category that do, in fact, belong to the category. It is a measure of over-inclusiveness: of all the documents identified as responsive to a tag, what percentage actually were responsive? See also, Recall.