I recently did an email server change/upgrade from Sendmail on FreeBSD (w/ Spamassassin 2.6.4) to Postfix on RHEL 3 (w/Spamassassin 3.1). On both systems, Spamassassin is called from user's .procmailrc files--not every user wants to be running SA (I'm not quite sure why).
I wasn't able to convert people's Bayes databases from one system to the other--the Linux system didn't recognize them at all as valid DB files, so everyone had to start Bayes over from scratch. Here's my problem: the new SA doesn't work nearly as well as the old one. Some of my users are reporting 50% false negatives in their inbox in the morning, even after their Bayes autolearning has kicked in. We run a nightly learning script for them, and have been telling everyone to put any and all false negatives in the appropriate mailbox so that sa-learn can snag them. For my own experiences, I'm seeing a lot more spam that's being autolearned as ham--scores of 0.0 and even negative ones for things that to my eyes are very obviously spam. It's a pretty vanilla set up so far--are there any recommended optional rules sets or tweaks I haven't discovered for 3.1 yet? Unfortunately, I don't have any hard numbers comparing the set ups, just lots of complaints that the new version isn't as good. -- Dan Bongert [EMAIL PROTECTED] SSCC Unix System Administrator
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