John Hardin a écrit :
On Tue, 27 Oct 2009, Sam wrote:
John Hardin a écrit :
On Tue, 27 Oct 2009, Sam wrote:
> And after learning with sa-learn, it is still saying bayes_50 >
whereas sa-learn told it has learned it.
Okay, basic Bayes troubleshooting questions:
(1) Are you running sa-learn as the same user that SA itself is
running as, so that you're training the Bayes database that SA is
actually using to score messages?
(2) Please run sa-learn --dump magic and send us the results.
1) For all users there is only one database in /var/bayes. I've done
some tests with su Debian-exim and it is same result.
2) lenny:/home/samuel# sa-learn --dump magic
0.000 0 3 0 non-token data: bayes db version
0.000 0 112532 0 non-token data: nspam
0.000 0 844 0 non-token data: nham
0.000 0 1935545 0 non-token data: ntokens
Okay, good. About the only comment I can make based on this is, you
might want to learn a bunch of ham. You want the database to kinda
reflect your actual raw spam/ham ratio, but yours is a little strongly
skewed towards spammy tokens...
Thanks to everybody for yours comments.
If I understand well, the few french spam I give to sa-learn are too
little front of the tons of english spam feed to sa-learn.
It could be interesting (but not existing I think) to have one bayes for
each langage if I understand that this the problem in my case.
Thanks a lot.
Sam.
