Question

[Stephen Davies]

I understand.

My initial issue is with the obvious spams not being detected first time 
round.
The first I see of them is in my inbox as ham - despite being so obviously 
spam.

If I save the email and run it through bogofilter -vvv, I get the results I 
posted.

I then use bogofilter -Ns to "fix" the database and this seems to work - until 
the next spam with the same pattern but from a different source arrives.
(bogofilter -vvv at this stage gives bogosity of 1.0).

I have changed my min-dev, robx and robs to 0.35, 0.7, 0.1 but first 
indications are that this is not enough.

On Thursday 21 May 2009 10:56:51 RW wrote:
> On Thu, 21 May 2009 09:49:48 +0930
>
> Stephen Davies <scldad at sdc.com.au> wrote:
> > On Thursday 21 May 2009 06:33:00 Thomas Anderson wrote:
> > > You have to adjust your robx and robs values.  They will determine
> > > where never-before-seen and rarely-seen tokens get scored.  E.g. if
> > > you set your robx within your "unsure" zone, new tokens will never
> > > score as ham or spam.  And with your robs, you can ensure that
> > > tokens seen only a few times also remain less influential.
> >
> > Thanks Tom. I found the doco and that looks like what I need.
>
> Just to be clear though, these are not "never-before-seen and
> rarely-seen tokens", they are tokens from spams that have been learned
> as ham. If you have a setup where you expect high levels of
> miss-training, then tuning Bogofilter to mitigate this is sensible -
> otherwise I'd want to know why it's happening.
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