Hi, I have a spamassassin-3.4 system with the following bayes config:
required_hits 5.0 rbl_timeout 8 use_bayes 1 bayes_auto_learn 1 bayes_auto_learn_on_error 1 bayes_auto_learn_threshold_spam 9.0 bayes_expiry_max_db_size 9500000 bayes_auto_expire 0 However, spam with scores greater than 9.0 aren't being autolearned: 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, and don't see any reason why this 16-point email wouldn't have any new tokens to be learned? 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? 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. Thanks, Alex
