On Thu, 2009-07-30 at 15:28 -0500, Dennis B. Hopp wrote:
> I'm using maia-mailguard with spamassassin 3.2.5. For the most part
> it seems to be working ok but I feel like too many messages are
> hitting BAYES_00 (roughly 3.7% of all messages) and BAYES_99 is only
> hitting about 1.7%. I have bayes autolearn on with ham being learned
> at -1.0 and spam learned at 8.0
>
> I'm sort of thinking part of my problem is I just don't have enough
> rules so I'm curious how many rules do other users out there have in
> their spamassassin setup?
That's not the problem.
> I currently have about 2558 rules consiting of stock rules, SOUGHT,
> KHOP, SARE, some customer rules I wrote and various rules I've seen
> posted on this list and other sites. I have a few plugins enabled as
> well (FreeMail, iXhash, Botnet, ASN, Pyzor, Razor2, DCC)
>
> I know some of it is just training of the bayes but I'm wondering if
> just lack of rules might be causing some of my problems.
Exactly. I seriously doubt lack of rules is your problem.
Instead, you should do more manual Bayes training. In particular, (a) do
feed sa-learn all spam messages with a low Bayes score regardless of the
overall SA score, and (b) train with all generally low-ish scoring
spam.
--
char *t="\10pse\0r\0dtu...@ghno\x4e\xc8\x79\xf4\xab\x51\x8a\x10\xf4\xf4\xc4";
main(){ char h,m=h=*t++,*x=t+2*h,c,i,l=*x,s=0; for (i=0;i<l;i++){ i%8? c<<=1:
(c=*++x); c&128 && (s+=h); if (!(h>>=1)||!t[s+h]){ putchar(t[s]);h=m;s=0; }}}
