http://issues.apache.org/SpamAssassin/show_bug.cgi?id=5287
Summary: Make auto-learning header and body thresholds
configurable
Product: Spamassassin
Version: 3.1.7
Platform: All
OS/Version: All
Status: NEW
Severity: enhancement
Priority: P5
Component: Learner
AssignedTo: [email protected]
ReportedBy: [EMAIL PROTECTED]
The Bayes auto learning thresholds can be configured using
bayes_auto_learn_threshold_spam and bayes_auto_learn_threshold_nonspam as
defined in AutoLearnThreshold.pm. But that file has a hard-coded minimum limit
of 3 points in each of the body and header before a message is automatically
learned as spam, even if the total value is above
bayes_auto_learn_threshold_spam. What we are seeing is that most spam is
properly identified due to the rules we have implemented, but all of those
rules mostly only affect the header score. The body score ends up being near 0,
so automatic learning doesn't take place.
I propose that the required_body_points and required_head_points values be made
configurable. That way they could be tuned to work well for particular local
configurations.
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