John Morse wrote: > I have uploaded my entire "Bayesit" directory, so that anyone can > download it and have the pleasure of using one of the finest spam > filters anywhere. You will not have to train it with so many emails,
<snip> > Don't worry about training Bayesit with a bunch of messages, just go > through the motions, because this will replace all the training > anyway. Nice gesture, but a bad idea IMO. The beauty of Bayesian filtering is that it learns from an individual's email. Other users may well get spam of a different nature than yours and, aside from TB! mailing lists, will almost certainly receive a different assortment of good mail. Here's an excerpt from an interesting article on Bayesian filtering: ,----- [ http://www.paulgraham.com/spam.html ] | Ideally, of course, the probabilities should be calculated | individually for each user. I get a lot of email containing the word | "Lisp", and (so far) no spam that does. So a word like that is | effectively a kind of password for sending mail to me. In my earlier | spam-filtering software, the user could set up a list of such words | and mail containing them would automatically get past the filters. On | my list I put words like "Lisp" and also my zipcode, so that | (otherwise rather spammy-sounding) receipts from online orders would | get through. I thought I was being very clever, but I found that the | Bayesian filter did the same thing for me, and moreover discovered of | a lot of words I hadn't thought of. `----- I haven't used BayesIt, but the training period for POPFile was remarkably short. Well worth the effort to have it know *my* mail. -- George Using TB! 2.02.3 CE on Windows XP Pro 5.1, Build 2600, Service Pack 1. ________________________________________________ Current version is 2.02.3 CE | "Using TBUDL" information: http://www.silverstones.com/thebat/TBUDLInfo.html
