Assisting the appraisal of e-mail records with automatic classification

<p>This spreadsheet shows the results of training a series of Support Vector Machine (SVM) classifiers to replicate the decision process for identifying e-mails of business value from among 846 e-mails in two corporate mailboxes. One set of SVMs were trained on emails without including the text of attachments and with the inclusion of attachments.&nbsp; For the sake of comparison, these SVMs were also trained on Spam / Ham and on a randomly selected subset of Enron emails half of which were arbitrarily tagged as &quot;business value&quot;.</p>