On Mon, 2009-03-09 at 15:41 -0600, LuKreme wrote:
> So why was this 11.9 autolearned?
See my previous post about a non-Bayes score-set being used. You beat me
by a minute with this follow-up question. ;)
> X-Spam-Status: Yes, score=11.9 required=5.0
> tests=AWL,BAYES_99, ... autolearn=spam version=3.2.5
AWL (your snipped doesn't include the score for that) and BAYES_99 are
being ignored for the auto-learn threshold.
Since you are running with network tests enabled, score-set 1 (without
Bayes) rather than 3 is used for auto-learning. The rules that do make a
significant difference:
50_scores.cf:score TVD_APPROVED 2.999 2.558 1.550 1.731 # n=2
50_scores.cf:score URIBL_JP_SURBL 0 2.857 0 1.501 # n=0 n=2
50_scores.cf:score URIBL_OB_SURBL 0 2.132 0 1.500 # n=0 n=2
That's about +2.8 for these, using a non-Bayes score-set. Minus
BAYES_99, minus AWL. Total score using rule-set 1 is 12.008 -- above the
threshold.
--
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; }}}
