Hi.

I have SA 4.0.1 configured it, all is good, except for bayes. It IS working, it 
IS learning but when it classifies mail it is really not so decisive as it was 
in V3.
I have:

dbg: bayes: corpus size: nspam = 1190, nham = 12441 dbg: bayes: DB expiry: 
tokens in DB: 979401, Expiry max size: 1500000, Oldest atime: 1725361640, 
Newest atime: 1725888528, Last expire: 0, Current time: 1725888537
So I have enough spam/ham and really enough tokens...
What I find weird is this:
BAYES_50 and BAYES_40 have like 10.000 hits EACH which is ALOT

BAYES_80 only 600
BAYES_95 even less: 341
BAYES_99: 284
BAYES_20 only 150
BAYES_60 only 87
I have no BAYES lower than 40 at all. I am training and also use autolearn.
I have also transferred corpus trained on SA v3 where it worked correctly.
Is Spamassassin v4 really so much more conservative or am I doing something 
wrong here?

Also;
One more thing...
Some mails even dont have BAYES added in score list, confirmed on 2 installs

1.95 DATE_IN_FUTURE_06_12 Date: is 6 to 12 hours after Received: date 1.10 
DCC_CHECK Detected as bulk mail by DCC (dcc-servers.net) 0.10 DKIM_SIGNED 
Message has a DKIM or DK signature, not necessarily valid -0.50 DKIM_VALID 
Message has at least one valid DKIM or DK signature -1.00 DKIM_VALID_AU Message 
has a valid DKIM or DK signature from author's domain -0.10 DKIM_VALID_EF 
Message has a valid DKIM or DK signature from envelope-from domain -0.00 
DMARC_PASS DMARC pass policy 0.25 FREEMAIL_ENVFROM_END_DIGIT Envelope-from 
freemail username ends in digit 0.30 FREEMAIL_FROM Sender email is commonly 
abused enduser mail provider 0.00 HTML_MESSAGE HTML included in message -0.00 
RCVD_IN_DNSWL_NONE Sender listed at https://www.dnswl.org/, no trust -0.00 
SPF_HELO_PASS SPF: HELO matches SPF record 2.50 URIBL_DBL_PHISH Contains a 
Phishing URL listed in the Spamhaus DBL blocklist

But a lot of mails have bayes scores.
There is no errors in logs and all is working fine...

I also tried to empty and clear bayes db and retrain it, same results...

Am I doung somethi g wrong?

Regards,Grega

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