Sebastian Grewe wrote:
> Maybe I just fed it better files back then or spam was more obvious back
> in the days ;-)

Are you saying that your spam is better than my spam? ;-)

I do now see a lot of spam that is full of hashbuster text, specifically
designed to 'poison' or dodge Bayesian filters. That might explain why
DSPAM struggled more when I tried to train it.

Angus


> Cheers,
> Sebastian
>
>> On 11.07.2014, at 20:15, "Angus McIntyre" <[email protected]> wrote:
>>
>> Eric Shubert wrote:
>>> P.S. Anyone else using DSPAM?
>>
>> I set up DSPAM and have it running, but I haven't had much luck with it.
>>
>> I have a vague memory of seeing someone claim that you could train DSPAM
>> using only 'spam' samples (no 'ham'), so I fed it my entire spam archive
>> for the month, with only a very small number of 'ham' examples.
>> Afterwards, DSPAM decided that all email was spam. (Granted, that
>> probably
>> gives it a false-positive rate of about 3%, but still).
>>
>> I then blew away its databases and tried to train it more selectively,
>> letting it rate everything and forcing it to re-learn (as Spam) any
>> messages that it had wrongly classified as Innocent. Unfortunately, I
>> never seemed to be able to even "move the needle": feeding numerous
>> samples of a highly-recognizable type of spam only reduced DSPAM's
>> confidence that they were Innocent, but it never seemed to tip over into
>> considering them Spam. I think the best that I ever got was a verdict
>> that
>> some particularly flagrant piece of spam was only Innocent with 60%
>> probability.
>>
>> I should work out a more intelligent training regime and see if I can't
>> get it to behave as advertised, but for me it certainly hasn't been the
>> 'out-of-the-box' spam-recognizing miracle that it has been for some
>> people.
>>
>> Angus
>>
>>
>>
>>
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