StanfordMLOctave/machine-learning-ex6/ex6/easy_ham/1752.5bcdd9205f59d95e025a28...

44 lines
1.7 KiB
Plaintext

Return-Path: guido@python.org
Delivery-Date: Fri Sep 6 16:05:22 2002
From: guido@python.org (Guido van Rossum)
Date: Fri, 06 Sep 2002 11:05:22 -0400
Subject: [Spambayes] Deployment
In-Reply-To: Your message of "Fri, 06 Sep 2002 11:02:11 EDT."
<3D788B92.22739.1D9E0FD1@localhost>
References: "Your message of Fri, 06 Sep 2002 10:39:48 EDT."
<3D788653.9143.1D8992DA@localhost>
<3D788B92.22739.1D9E0FD1@localhost>
Message-ID: <200209061505.g86F5MM14762@pcp02138704pcs.reston01.va.comcast.net>
> > What's an auto-ham?
>
> Automatically marking something as ham after a given
> timeout.. regardless of how long that timeout is, someone is going
> to forget to submit the message back as spam.
OK, here's a refinement. Assuming very little spam comes through, we
only need to pick a small percentage of ham received as new training
ham to match the new training spam. The program could randomly select
a sufficient number of saved non-spam msgs and ask the user to
validate this selection. You could do this once a day or week (config
parameter).
> How many spams-as-hams can be accepted before the f-n rate gets
> unacceptable?
Config parameter.
> I view IMAP as a stop-gap measure until tighter integration with
> various email clients can be achieved.
>
> I still feel it's better to require classification feedback from the
> recipient, rather than make any assumptions after some period of
> time passes. But this is an end-user issue and we're still at the
> algorithm stage.. ;-)
I'm trying to think about the end-user issues because I have nothing
to contribute to the algorithm at this point. For deployment we need
both!
--Guido van Rossum (home page: http://www.python.org/~guido/)