Hi !

I'm using SpamAssassin 2.60 with autolearning.
Today I received one of the usual penis pill advertisments, which triggered:
| X-Spam-Flag: YES
| X-Spam-Checker-Version: SpamAssassin 2.60 (1.212-2003-09-23-exp) on 
|         cslmail.nrw.net
| X-Spam-Report: 
|         *  5.4 BAYES_99 BODY: Bayesian spam probability is 99 to 100%
|         *      [score: 0.9989]
|         *  0.1 HTML_MESSAGE BODY: HTML included in message
| X-Spam-Status: Yes, hits=5.5 required=5.0 tests=BAYES_99,HTML_MESSAGE 
|         autolearn=ham version=2.60
So it was marked as Spam due to the Bayesian filter. But as autolearning
happens before the Bayes score is added, and scoreset 1 is used
(which gives HTML_MESSAGE only 0.001), the score is below the default
bayes_auto_learn_threshold_nonspam (0.1), and the message is autolearned
as Ham !
I've checked the same message after this autolearn: now the Bayes score
dropped to 0.56, so it wasn't marked as Spam anymore...

So this isn't really a bug (SA works exactly as documented), but I wonder
if this is the intended behaviour. IMHO a message marked as Spam should
never be autolearned as Ham.

   Thomas

-- 
Thomas Mechtersheimer                                           [EMAIL PROTECTED]


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