Hi, > > However, spam with scores greater than 9.0 aren't being autolearned: > > http://spamassassin.apache.org/doc/Mail_SpamAssassin_Plugin_AutoLearnThreshold.html > > > > Sep 2 21:01:51 mail01 amavis[25938]: (25938-10) > > header_edits_for_quar: <bmu011...@bmu-011.hichina.com> -> > > <bestd...@example.com>, Yes, score=16.519 tag=-200 tag2=5 kill=5 > > tests=[BAYES_50=0.8, KAM_LAZY_DOMAIN_SECURITY=1, KAM_LINKBAIT=5, > > LOC_DOT_SUBJ=0.1, LOC_SHORT=3.1, RCVD_IN_BL_SPAMCOP_NET=1.347, > > RCVD_IN_BRBL_LASTEXT=1.449, RCVD_IN_PSBL=2.3, > > RCVD_IN_UCEPROTECT1=0.01, RCVD_IN_UCEPROTECT2=0.01, RDNS_NONE=0.793, > > RELAYCOUNTRY_CN=0.1, RELAYCOUNTRY_HIGH=0.5, SAGREY=0.01] autolearn=no > > autolearn_force=no > > > > I've re-read the autolearn section of the docs, > > The one I linked to above?
Yes, and the FAQ entry regarding reasons why autolearn doesn't work. > I looked in the quarantined message, and according to the _TOKEN_ > header I've added: > > X-Spam-MyReport: Tokens: new, 47; hammy, 7; neutral, 54; spammy, 16. > > Isn't that sufficient for auto-learning this message as spam? > > That has absolutely nothing to do with auto-learning. Where did you get > the impression it might? If the conditions for autolearning had been met, I understood that it would be those new tokens that would be learned. > > I just wanted to be sure this is just a case of not enough new points > > (tokens?) for the message to be learned, and that I I wasn't doing > > something wrong. > > Points: aka score, used in the context of per-rule (per-test) and > overall score classifying a message based on the required_score setting. > > Token: think of it as "word" used by the Bayesian classifier sub-system. > In practice, it is more complicated than simply space separated words. > Context (e.x. headers) and case might be taken into account, too. Okay, of course I understood the difference between points and tokens. Since the points were over the specified threshold, I thought those new tokens would have been added. I'll continue reading and experimenting. Posting very late again. Thanks guys for your help, as always. Thanks, Alex
