Hello Lou, Tuesday, June 1, 2004, 10:15:01 PM, you wrote:
LY> Tuesday, June 1, 2004, 4:27:30 PM, you wrote: LY> At the risk of sounding argumentative, which is not my intent: ;-) LY> Any antispam program, plug in or not, has to sit in front of the LY> email, before the mail client decides where to filter it. Popfile is easy to LY> train and here it is running in the neighborhood of 99.5% accuracy. I have LY> magnets set for much of the legit mail which makes it much easier on popfile. LY> I don't bother to check the spam filtered messages for most of my mailboxes, LY> only the business ones and then only occaisonally. I've found that BayesIt is remarkably accurate, and I've not lost mail to it yet. It hasn't quite had enough 419's to spot them all, though - mostly because 419's are long, and therefore harder to spot anyway. But that's about my only real complaint - if you can call it complaint. LY> I have never tried BayesIt, but will have to do so. Maybe I can get it up to LY> 100%... Being a plug in makes it easier to install and set up, but does not, LY> in itself, affect accuracy. My take is to try them all and then choose. Being a plugin does affect accuracy in a way. I probably wasn't clear enough - because you can select and entire folder and mark as "Not Junk", BayesIt can build up a remarkably good picture of your legitimate mail. Most users of BayesIt seem to report that when they do look at the logs, they find that mails are very polarised - they're either scoring highly for spam, or not scoring much at all. Out of every 100 messages, I probably get only one or two that don't score enough to be deleted immediately (99 or higher on my system) or zero. Most users will have a lot of legitimate pre-filtered email. Being able to quickly teach your filters what that looks like makes, in my experience, for a more accurate filter. -- Best regards, Philip mailto:[EMAIL PROTECTED] Using The Bat! v2.10.03 on Windows 2000 5.0 Build 2195 Service Pack 4
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