On Sat, Jul 11, 2015 at 7:55 PM, Reindl Harald <h.rei...@thelounge.net> wrote:
>
>
> Am 11.07.2015 um 17:36 schrieb James:
>>>
>>> Does Bayes catch them?
>>>
>>> =======================================================
>>>
>>> I don't know since I don't get any non-english emails. But, you
>>> could collect and feed them to "sa-learn spam" and see it that helps.
>>>
>>> Warmest regards,
>>> Mark Chino
>>>
>> It doesn't help (I think I feed sa-learn to much spam).
>> They are always close.
>> score=3.9 required=4.5
>
>
> and where is the problem to rasie the bayesc scores in loal.cf if you
> *really* trained it?
>
> [root@mail-gw:~]$ cat spamd-local.conf | grep BAYES
> score BAYES_00 -3.5
> score BAYES_05 -2.0
> score BAYES_20 -1.0
> score BAYES_40 -0.5
> score BAYES_50 1.8
> score BAYES_60 3.5
> score BAYES_80 5.0
> score BAYES_95 6.5
> score BAYES_99 7.5
> score BAYES_999 0.4
>
> milter reject starts with 8.0 with no single complaint the last 12 months
>
What if the OP change the weight/score values for textcat?
