On Wed, 2005-12-14 at 12:20 -0500, steve szmidt wrote:
> On Wednesday 14 December 2005 12:01, Eben King wrote:
> > I put Spamassassin on my machine to deal with the spam issue (which is not
> > severe, by "abuse@" standards, but still), and it doesn't seem to be
> > getting beter. Correction, the two-week average of "% spams caught" has
> > gone from 38% two weeks ago to 44% now. There have been no false
> > positives, for which I'm grateful, but I'd put up with a few false
> > positives for a better kill rate. I got fed up with it, so I made a
> > spreadsheet to see _how bad_ it was. It's at
> > http://24.94.123.65:81/spam.xls . I've fed every missed spam to it by "|
> > sa-learn --spam" from pine. What am I doing wrong? Shouldn't it be
> > improving?
>
> You also need to tell it how good email (ham) looks like. It should be a 50 -
> 50 split when you train it.
>
Also from "info Mail::SpamAssassin::Conf" :
bayes_min_ham_num (Default: 200)
bayes_min_spam_num (Default: 200)
To be accurate, the Bayes system does not activate until a
certain number of ham (non-spam) and spam have been learned. The
default is 200 of each ham and spam, but you can tune these up
or down with these two settings.
Also as a side note make sure "use_bayes 1" (no quotes) is set in your
local.cf file. Make sure you use the --ham on a mailbox full of good
spam-free e-mail. I set the default required_hits down from 5 to 3 in
the user_prefs file. That will tighten the belt a little.
# How many hits before a mail is considered spam.
required_hits 3
Also there's spamassassin -D --lint which might yield other deeper
problems.
Mine at our office has about a 98% catch rate....however the above
command shows:
debug: bayes corpus size: nspam = 1857, nham = 1267
So that may be why it's so accurate! ;^)
HTH!
Mike Branda Jr.
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