On Nov 8, 2018, at 2:30 AM, Matus UHLAR - fantomas <uh...@fantomas.sk> wrote:
Do you use autolearn? There are a few rules to detect ham (score
negatively), many of them based on default whitelists and DNS whitelists,
where many mails come from grey area companies, not necessarily spam, but
training their mail as ham can lower the detection rate of real spams.
On 08.11.18 12:06, Amir Caspi wrote:
autolearn is technically enabled, but every single message in ham (inbox)
has autolearn=no, and the same is true for my spam store. So, none of my
tokens were autolearned, and all (should have) resulted only from my
manual training.
how many spams and hams did you train then?
I found this number of tokens low, and have increased it.
bayes_expiry_max_db_size 262144
Are you recommending increasing TO this number, or FROM this number? It
looks like my spam tokens are approaching this number, so I am assuming
you think I should go higher? Any recommended number?
I have increased to this number, on some servers even to double of that
number.
--
Matus UHLAR - fantomas, uh...@fantomas.sk ; http://www.fantomas.sk/
Warning: I wish NOT to receive e-mail advertising to this address.
Varovanie: na tuto adresu chcem NEDOSTAVAT akukolvek reklamnu postu.
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