On 30/12/12 19:27, Jari Fredriksson wrote:
30.12.2012 21:09, RW kirjoitti:
On Sun, 30 Dec 2012 19:13:01 +0200
Jari Fredriksson wrote:
Finally they are getting some Bayes too, and exterbal URIBL databases
are recognizing URIs in the payload. So I have now lowered the points
on my rule to 5.5. Also created a local anti-DNSWL_MED for mail
coming from redhat having this RCVD_IN_DNSWL_MED on.
The list appears to be available at gmane.comp.java.jboss.user
IIWY I'd look at how well Bayes is doing in the list, it may be that
you can safely add a meta rule to boost the score for the higher
scoring bayes rules in the list, and then add a few low-scoring
subject rules for "Vs" and some of the other common words.
I have not received ham from that list today. Bayes was very slow to
adapt, and now that it finally gets usually between 60-90% it begins to
work. But I am very afraid the ham from that list will get the same points!
The email is pure HTML, looks like a "page" from their discussion site,
and it has very much common in ham& spam. Remains to be seen how well
bayes copes with it.
Had you in the past trained bayes with a large amount of ham from that
list? I would imagine that would explain why you would then need to
train many spam from the same source before you see any change in the
behaviour of bayes. Most of the tokens are going to look the same to
bayes as it's all from the same source and the content differs only
slightly.
