Am Fr, den 21.10.2005 schrieb D. D. Brierton um 17:02: > I'm using FC4 with spamassassin-3.0.4-1.fc4. fetchmail delivers mail to > a locally running postfix. spamd is running as a service, and spamc is > called by procmail on my mail. My setup is almost identical to that > desribed here: > > http://wiki.apache.org/spamassassin/UsedViaProcmail > > However, despite the fact that I have trained spamassassin on a vast > amount of both ham and spam using sa-learn, I suspect that Bayesian > testing is not being applied. I became suspicious that this might be the > case after receiving over a dozen almost identical messages and despite > training spamassassin on them they are still not being identified as > spam. So I started looking at the headers that spamassassin adds to each > message more closely. Here is the header it added to a recent message > from this list: > > X-Spam-Status: No, score=0.0 required=5.0 tests=RCVD_BY_IP > autolearn=failed version=3.0.4 You are irritated by "autolearn=failed"? Autolearning is not the same as using the Bayesian features. Though the former requires the last to be active. And autolearning does not use each mail checked, it only applies to messages with more or less reliable spam / ham score values. > And here is an example of an incorrectly identified spam message: > > X-Spam-Status: No, score=2.8 required=5.0 tests=HELO_DYNAMIC_IPADDR, > RCVD_BY_IP autolearn=no version=3.0.4 Did you set in local.cf something like following? use_bayes 1 auto_learn 1 bayes_learn_to_journal 1 bayes_file_mode 0600 bayes_path /var/spool/MIMEDefang/bayes > Best, Darren Alexander -- Alexander Dalloz | Enger, Germany | GPG http://pgp.mit.edu 0xB366A773 legal statement: http://www.uni-x.org/legal.html Fedora Core 2 GNU/Linux on Athlon with kernel 2.6.11-1.35_FC2smp Serendipity 17:10:27 up 2 days, 22:44, load average: 0.39, 0.37, 0.34
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