Hello,

After relatively long training of bayes filters, we are consistently getting bayes99 score of 3.5 (on spam mails).

It seems this is the max score assigned to bayes99. How/where can we increase this value?

Config files are at: /etc/amavisd.conf and at /etc/mail/spamassassin/local.cf

Spam mails still get through because a higher total score is needed for them to be auto designated as spam.

Here is a typical header of such a mail:

X-Spam-Flag: NO
X-Spam-Score: 5.153
X-Spam-Level: *****
X-Spam-Status: No, score=5.153 tagged_above=-999 required=5.5
    tests=[BAYES_99=3.5, BAYES_999=0.2, DATE_IN_PAST_12_24=1.049,
    DKIM_ADSP_CUSTOM_MED=0.001, FREEMAIL_FROM=0.001,
    HTML_IMAGE_RATIO_06=0.001, HTML_MESSAGE=0.001, IP_LINK_PLUS=0.012,
    NML_ADSP_CUSTOM_MED=0.9, NORMAL_HTTP_TO_IP=0.001,
    RP_MATCHES_RCVD=-0.313, SPF_HELO_PASS=-0.1, SPF_PASS=-0.1]
    autolearn=disabled

How should I best handle the issue? I think that raising max score from 3.5 to e.g. 6.0 might do the trick. Any other options?

Some additional data:

$ sa-learn --dbpath '/var/amavis/var/.spamassassin' --dump magic
0.000          0          3          0  non-token data: bayes db version
0.000          0       2063          0  non-token data: nspam
0.000          0       1010          0  non-token data: nham
0.000          0     217776          0  non-token data: ntokens
0.000          0 1219096335          0  non-token data: oldest atime
0.000          0 1476418883          0  non-token data: newest atime
0.000          0 1476418900          0  non-token data: last journal sync atime
0.000          0 1471602636          0  non-token data: last expiry atime
0.000          0          0          0  non-token data: last expire atime delta
0.000          0          0          0  non-token data: last expire reduction count

Please advise.

Thanks in advance,
Nick

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