Am 04.01.2017 um 20:50 schrieb Claas Kähler:
Hallo everybody, I have a serious Spam-Problem and I want to feed sa-learn with those Spam-mails to get rid of it. Has someone found a solution to train Spamassassin with data from DBMail?
just put your samples in folders and use "sa-learn" with the correct user [root@mail-gw:~]$ bayes-stats.sh 0 81476 SPAM 0 25659 HAM 0 3227434 TOKEN insgesamt 376M 24K -rw-r----- 1 sa-milt sa-milt 24K 2017-01-04 16:29 bayes_seen 65M -rw-r----- 1 sa-milt sa-milt 81M 2017-01-04 16:29 bayes_toks 312M -rw-r----- 1 sa-milt sa-milt 312M 2017-01-04 16:29 wordlist.db BAYES_00 1682 58.99 % BAYES_05 84 2.94 % BAYES_20 81 2.84 % BAYES_40 104 3.64 % BAYES_50 394 13.81 % BAYES_60 56 1.96 % 9.75 % (OF TOTAL BLOCKED) BAYES_80 60 2.10 % 10.45 % (OF TOTAL BLOCKED) BAYES_95 38 1.33 % 6.62 % (OF TOTAL BLOCKED) BAYES_99 352 12.34 % 61.32 % (OF TOTAL BLOCKED) BAYES_999 285 9.99 % 49.65 % (OF TOTAL BLOCKED) DELIVERED 5104 91.91 % DNSWL 4984 89.75 % SPF 4088 73.61 % SPF/DKIM WL 2250 40.51 % SHORTCIRCUIT 2690 48.44 % BLOCKED 574 10.33 % SPAMMY 506 9.11 % 88.15 % (OF TOTAL BLOCKED) _______________________________________________ DBmail mailing list DBmail@dbmail.org http://lists.nfg.nl/mailman/listinfo/dbmail