Re: Train Spamassassin
Reindl Harald <[email protected]> Thu, 5 Jan 2017 00:21:12 +0100
| Newsgroups | gmane.mail.imap.dbmail |
|---|---|
| Organization | the lounge interactive design |
| Message-ID | <[email protected]> |
Am 04.01.2017 um 22:32 schrieb Claas Kähler: > Okay this part is easy, but how could i extract samples from dbmail to > put them into a folder? by IMAP - you are not supposed to directyl access email via mysql since you underestimate the complexity of the strcuture and must not rely on internal aka non-public API's > Am 04.01.17 um 22:26 schrieb Reindl Harald: >> >> >> 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)