> Hi Patrik,
>
> What are your dspam_stats? We have seen behavior like this in two
> cases. In the first, training was done in a fashion where similar
> messages to an impartial observer were trained as both spam and
> innocent. The resulting schizophrenia gave poor results. In the
> second, an inappropriate training mode was chosen relative to the
> spam/not-spam message ratio. The usual culprit was using TEFT with
> a very high spam to good mail ratio. This resulted in a disproportionate
> amount of spam being trained versus the good message. This again
> reduced the accuracy of DSPAM (That's how Bayesian statistics work.)
> In both cases, accuracy was restored by reinitializing the corpus
> in question using an appropriate training process and training mode
> appropriate for the E-mail in question.
>
> Good luck,
> Ken
>

> Hi Patrik,
>
> What are your dspam_stats? We have seen behavior like this in two
> cases. In the first, training was done in a fashion where similar
> messages to an impartial observer were trained as both spam and
> innocent. The resulting schizophrenia gave poor results. In the
> second, an inappropriate training mode was chosen relative to the
> spam/not-spam message ratio. The usual culprit was using TEFT with
> a very high spam to good mail ratio. This resulted in a disproportionate
> amount of spam being trained versus the good message. This again
> reduced the accuracy of DSPAM (That's how Bayesian statistics work.)
> In both cases, accuracy was restored by reinitializing the corpus
> in question using an appropriate training process and training mode
> appropriate for the E-mail in question.
>
> Good luck,
> Ken
>
Hi Ken,
My dspam_stats was sent as a reply to Steves mail so you should have got it?
All mails that are not retrained as spam is treated as ham I guess?
And I do retrain
all spams coming through the filter.

But what happens if other users (on the same machine) does not retrain at all?
Will that affect my filtering?

-Patrik

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