From: | Mike Mascari <mascarm(at)mascari(dot)com> |
---|---|
To: | Bruce Momjian <pgman(at)candle(dot)pha(dot)pa(dot)us> |
Cc: | Joe Conway <mail(at)joeconway(dot)com>, Michael Chaney <mdchaney(at)michaelchaney(dot)com>, pgsql-general(at)postgresql(dot)org |
Subject: | Re: [OT] Tom's/Marc's spam filters? |
Date: | 2004-04-21 20:20:07 |
Message-ID: | 4086D777.8070001@mascari.com |
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Lists: | pgsql-general |
Bruce Momjian wrote:
> Joe Conway wrote:
>
>>The one thing I had *not* been doing, but started to do as of last
>>night, is to use the false-negatives to explicitly train the Bayesian
>>filter. It was easy enough to set up. I created an hourly cron job as
>>follows:
>>
>> /usr/bin/sa-learn --mbox --spam /path/to/false-neg.mbox
>>
>>Now I just drop all false negatives into that mailbox, and clean them
>>out periodically. Hopefully that will make a significant improvement.
>
> I can tell you it certainly will.
Doesn't sa-learn also require you to teach it Ham as well? My
problem has been that sa-learn appears to ignore white-listed emails
and therefore can't learn from 90% of my Ham. Meanwhile, I get spam
that slips through SA that my Mozilla client *correctly* identifies
as Junk. Once a week, I take that Junk email, along with all Ham and
run sa-learn with the appropriate --spam/--ham switch. But it
doesn't seem to be improving. I still get spam which SA fails to
identify but which, 95% of the time, Mozilla correctly identifies.
Mike Mascari
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