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This is the support site for Andrews & Arnold Ltd, a UK Internet provider. Information on these pages is generally for our customers but may be useful to others, enjoy!
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message to decide whether it is spam or not. One of the
checks it can do, is to compare the message with previous
messages
==Checking the learning==▼
If you view the 'headers' of a message, you should see the spam report, and a line looking like:▼
-3.0 BAYES_00 BODY: Bayes spam probability is 0 to 1%▼
or perhaps▼
0.8 BAYES_50 BODY: Bayes spam probability is 40 to 60%▼
Here you can see the 'Bayes spam probability' as a percentage.▼
==Teaching the system==
If the 'Bayes spam probability' is incorrect, then it can be taught about
*Move a message '''OUT''' of the spam folder to tell the system it is '''NOT''' spam
If you make a mistake, just move the message back.
The process of learning doesn't guarantee that the system will be correct next time a similar message is received, but it should help
and you should see a change in the 'probability' in the headers.
▲==Checking the learning==
▲If you view the 'headers' of a message, you should see the spam report, and a line looking like:
▲ -3.0 BAYES_00 BODY: Bayes spam probability is 0 to 1%
▲or perhaps
▲ 0.8 BAYES_50 BODY: Bayes spam probability is 40 to 60%
▲Here you can see the 'Bayes spam probability' as a percentage.
[[Category:Email Features]]
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