Hi,

On Tue, 15 Jul 2003 13:40:37 -0600 (MDT) Mike Mills
<[EMAIL PROTECTED]> wrote:

> I am experiencing weird and inconsistent behavior with the auto_learn 
> feature of spamassassin.  I set the following in my local.cf file:
> 
> auto_learn 1
> auto_learn_threshold_spam 4.3
> auto_learn_threshold_nonspam 0.0

That's probably not such a hot idea; the auto-learn thresholds are set
to (-2 ham/15 spam) for a reason. Better to manually train SA with
sa-learn with a corpus of known ham and spam than try to second-guess
the autolearning process.

> In my user_prefs I have:
> 
> required_hits         4.3

... meaning all your false positives are learned as spam. :(
 
> It seems that not all of the spam that gets filtered into my spam folder 
> is learned by the bayes database.  Most recently, it seems that spam with 
> hits of 35.20, 25.10, 23.20, 14.20, and 11.80 points were learned, while 
> those with 34.8, 34.30, 11.9, 7.7 and 5.00 points were not.  Any ideas on 
> what is going on here?

Yes; some scores are not used when calculating scores for the purposes
of autolearning. The two that immediately pop to mind are AWL
(auto-whitelisting) and the scores resulting from Bayes (avoids
degenerate, self-reinforcing behavior.) There may be other scores
(DNSBLs?) that aren't used when calculating a score for the purpose of
auto-learning.

-- Bob


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