2. The non-transitory computer-readable storage medium of claim 1 , wherein, with respect to each of the association rules, recording the categorization results includes: counting a number of true positive document categorizations resulting from using the association rule in categorizing the documents of the set; and counting a number of false positive document categorizations resulting from using the association rule in categorizing the documents of the set, and wherein, with respect to each of the association rules, the precision is evaluated based on the true positive document categorizations and the number of false positive document categorizations.
2. The non-transitory computer-readable storage medium of claim 1 , wherein, with respect to each of the association rules, recording the categorization results includes: counting a number of true positive document categorizations resulting from using the association rule in categorizing the documents of the set; and counting a number of false positive document categorizations resulting from using the association rule in categorizing the documents of the set, and wherein, with respect to each of the association rules, the precision is evaluated based on the true positive document categorizations and the number of false positive document categorizations. 3. The non-transitory computer-readable storage medium of claim 2 , wherein, with regards to each of the association rules, evaluating the precision includes: accessing information about a first quantity, wherein the first quantity is a number of documents of the set that are associated with the document category; accessing information about a second quantity, wherein the second quantity is a number of documents of the set that are not associated with the document category; and computing a metric that is a function of the first quantity and the second quantity, the number of true positive and false positive document categorizations resulting from using the association rule, and an adjustment factor, represented as an integer that compensates for sampling bias associated with the documents of the set.