Mailinglist Archive: opensuse (4237 mails)

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Re: [SLE] [9.0] How can i tell if Spamassassin is learning?
  • From: Rikard Johnels <rikjoh@xxxxxxxxx>
  • Date: Tue, 24 Aug 2004 06:18:49 +0200
  • Message-id: <200408240618.56451.rikjoh@xxxxxxxxx>
On Tuesday 24 August 2004 00.51, Carlos E. R. wrote:
> The Monday 2004-08-23 at 13:04 +0200, Rikard Johnels wrote:
> > Carlos mail gives:
> > X-Spam-Status: No, hits=1.8 tagged_above=-20.0 required=5.0
> > tests=BAYES_44, RCVD_IN_NJABL_DUL, RCVD_IN_SORBS_DUL, UPPERCASE_25_50
>
> On my system, that one gives:
>
> X-Spam-Status: No, hits=-4.8 required=5.0
> tests=AWL,BAYES_00,UPPERCASE_25_50 autolearn=no version=2.63
>
>
> The differences are:
> 1) You have enabled some "online" tests with real time black lists (I
> think).
> 2) Your Bayes filter is not trainned very well, as it giving it a 44
> percentage, and I'm not a spammer ;-)
>
> You should retrain your bayessian filter with mail that you know it is
> spam. For that, I simply delete the '.spamassassin/bayes*' files, and then
> I run agan sa-learn; in my case, I do:
>And some 700 ham.
> time nice sa-learn --showdots --spam --mbox Mail/file/z_spam_unrecog && \
> time nice sa-learn --rebuild
>
> You'd have to change the mailbox location, at least, of course.
>
> --
> Cheers,
> Carlos Robinson

This is the config i use.

# SpamAssassin config file for version 2.5x
# generated by http://www.yrex.com/spam/spamconfig.php (version 1.01)
required_hits 5.0
rewrite_subject 0
subject_tag *****SPAM*****
report_safe 1
use_terse_report 0
use_bayes 1
auto_learn 1
bayes_path /home/bayesdatabase/bayes
skip_rbl_checks 0
use_razor2 1
use_dcc 1
use_pyzor 1
ok_languages en sv
ok_locales en
add_header all Report _REPORT_


I ran about 1000 spam and 700 ham thru sa-learn in total

I'll reset the database today, and see if anything changes.
But i am still worried by the fact that bayesian checks are missing so
often...



--
/Rikard

------------------------------------------------------------------------------------
Rikard Johnels email : rikjoh@xxxxxxxxx
Web : http://www.rikjoh.com
Mob : +46 735 05 51 01

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