Larry Vaden wrote:
> Hi amavis-users,
>
> I note with interest the two excerpts from the recommended debug below the 
> sig.
>
> What is the collective wisdom of the group wrt dspam? (private replies
> are OK if you prefer).
>   

dspam has his fanatics and haters. I have tested it for some time and 
abandoned it because it didn't fulfill _my_ requirements. now, you'd 
better see by yourself (my requirements aren't yours).

part of my requirements are:
- correctness. In many cases (they seemed related to a mysql issue), 
dspam passed mail unfiltered.
- almost zero false positives. for me, this was easier with SA than with 
dspam.
- not too much dependent on training (and retraining). dspam is way too 
sensitive to training in my experience. This is not a bug, it is how 
bayesian filters work. The thing is: I can easily configure SA to avoid 
a lot of FPs. this is harder with a statistical filter (at least, I 
didn't find a simple way. may be there is some work needed to implement 
"barriers" against FPs, but this doesn't look simple).
- software architecure. dspam looks like a big monolithic program that 
grows and grows... (it has an anti-virus interface, it can be integrated 
in N many ways, all using the same program, ...).

On the plus side: with careful training, dspam can get very "good" and 
is faster than SA (SA relies on N expressions to match. the more rules, 
the more load...). so for individual use by someone who understands what 
training is, this is a good choice. This isn't my case, as I need a 
filter for people who won't train at all or won't train correctly (In 
fact, the "critical" test that I performed was to simulate a user who 
accumlates undetected spam, then one day feels motivated to train the 
filter with all that spam. and bang. this feeds too many spam, that 
subsequent mail gets tagged as spam...)

> What about some of the rest of the mentions?
>   


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