Alex Woick wrote:
If you feed third-party backscatter as spam, you let the Bayes filter
know that the standard bounce texts like "...unable to deliver..." is a
spam indicator.
... but if you feed in a few legitimate bounces as ham, the bounce text
itself tends towards a neutral rating over ti
The proper usage of the Bayes filter is very simple: feed spam as spam
and ham as ham. All of your mail. Don't care for content that might be
mis-learned in your eyes: it will not be mis-learned. Don't try be
smarter than the filter. The only exception is bounce-messages: don't
feed them at all
Alex Woick wrote:
The proper usage of the Bayes filter is very simple: feed spam as spam
and ham as ham. All of your mail. Don't care for content that might be
mis-learned in your eyes: it will not be mis-learned. Don't try be
smarter than the filter. The only exception is bounce-messages: don'
Theodore Heise schrieb am 09.03.2008 19:15:
Occasionally I get unsolicited bulk e-mail on a topic that is of
borderline interest to me. My tendency is to deleted it from my spam
folder before training the Bayes functions on my spam. I've
considered training Bayes on these messages as ham, b
Theodore Heise schrieb am 09.03.2008 19:15:
Occasionally I get unsolicited bulk e-mail on a topic that is of
borderline interest to me. My tendency is to deleted it from my spam
folder before training the Bayes functions on my spam. I've considered
training Bayes on these messages as ham, bu
On 09.03.08 14:15, Theodore Heise wrote:
> Occasionally I get unsolicited bulk e-mail on a topic that is of
> borderline interest to me. My tendency is to deleted it from my
> spam folder before training the Bayes functions on my spam. I've
> considered training Bayes on these messages as ham,
Hi all,
I don't recall seeing discussion of this question before, but
apologize if I've missed it.
Occasionally I get unsolicited bulk e-mail on a topic that is of
borderline interest to me. My tendency is to deleted it from my
spam folder before training the Bayes functions on my spam. I