On Tue, 27 Oct 2015, j...@lexoncom.com wrote:
example mail sa headers:
Is this from a spam?
X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on
ip-10-254-37-89.us-west-2.compute.internal
X-Spam-Level: ***
X-Spam-Status: No, score=3.1 required=5.0 tests=BAYES_00,HTML_MESSAGE,
BAYES_00. You *do* have ham and spam trained, and bayes *is* in use.
If this is a spam, your Bayes appears to be mistrained. That might explain
why so many spams are getting through.
If you have autolearn turned on, turn it off.
Collect hand-classified corpora of several hundred hams and several
hundred spams, then wipe and retrain your Bayes.
If your userbase is small enough to collect and train on just
misclassified messages, then leave autolearn turned off and just train
misclassifications and messages that don't hit either BAYES_00 or
BAYES_99.
--
John Hardin KA7OHZ http://www.impsec.org/~jhardin/
jhar...@impsec.org FALaholic #11174 pgpk -a jhar...@impsec.org
key: 0xB8732E79 -- 2D8C 34F4 6411 F507 136C AF76 D822 E6E6 B873 2E79
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