On 01/20/2014 12:43 PM, Matus UHLAR - fantomas wrote:
On 01/20/2014 11:37 AM, Matus UHLAR - fantomas wrote:
I heave received a ham message, that hit BAYES_50 at the time I
received
it.  After feeding to "spamassassin -k" and rechecking it gives
BAYES_99: Unfortunately, feeding message to sa-learn explains it
was not
learntL

On 20.01.14 13:05, Axb wrote:
Try adding token reports to your scanned msgs.

(http://spamassassin.apache.org/full/3.3.x/doc/Mail_SpamAssassin_Conf.txt)

_HAMMYTOKENS(N)_  the N most significant hammy tokens (default, 5)
_SPAMMYTOKENS(N)_ the N most significant spammy tokens (default, 5)

report Report   _SPAMMYTOKENS(25)_
report Report   _HAMMYTOKENS(25)_

That may help you trouble shoot cases like this

I have added:

add_header all tokens-spam _SPAMMYTOKENS(25)_
add_header all tokens-ham _HAMMYTOKENS(25)_
add_header all tokens-sum _TOKENSUMMARY_

the last header says:

X-Spam-tokens-sum: Tokens: new, 0; hammy, 3; neutral, 50; spammy, 97.

there are many spammy tokens that should be considered hammy. Still
wondering why it was BAYES_50 before...
--
Matus UHLAR - fantomas, [email protected] ; http://www.fantomas.sk/
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