Marrco wrote:
>
>> According to the stats on my test server, eliminating bayesian filtering
>> would mean at least a thirty percent increase in SPAM messages. Why do
>> you
>> think it should be dropped?
>
> 30% of spam coming thru a host able to pass graylisting, helocheck,
> default
> dnsbl and multi.surbl ?
>
> sorry, numbers are much different here. Even a simple strategy like that
> gives you (2006) more than 90% of spam blocked. And than you have many
> other
> tools to block the rest.
>
> so i think you mean :
>
> if i get 120 messages addressed to me, maybe 100 are spam. I can block 96
> without bayes or 97 using everything + bayes.
>
> and i agree with you. Difference between 3 or 4 spam passing is a 30%
> increase. But at a what cost. You didn't tell me about false positives. I
> (and many other postmasters) have never been able to evoid false positives
> in bayesiang filtering.
>
> false positives are a huge cost. and my users prefer to get 100 spams that
> losing 1 legit mail.
>
> look it that way. Bayesian filters can give you less that 1% of increased
> spam detection. Is that worth the risk of losing legit mail ?
>
>
I agree, if all bayesian can do is get the last 1% then it is not worth the
risk of a false positive. The 30% number came from 43 days of collecting
data. There were a few false positives early on, but not in the last thirty
days. I did not have greylisting turned on. It is on now and I will look
for a difference in stats over the next few weeks.
My test server is processing email for three very small domains. About 8500
messages have been processed out of 24000 attempted connections. Roughly
1500 were let through, 3000 were stopped by bayesian and the rest by other
filters. I do not use surbl.
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