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Chris Thielen writes:
> Tom,
>
> IANABE (I am not a bayesian expert) but with a naive understanding of the
> algorithm, I think I can see value in learning an email that's already
> scored at 1.000.
>
> There were obviously a lot of spammy tokens in
Tom,
IANABE (I am not a bayesian expert) but with a naive understanding of the
algorithm, I think I can see value in learning an email that's already
scored at 1.000.
There were obviously a lot of spammy tokens in that email which bumped the
score to 1. However, even an email that scores 1 can h
If it's already 100% sure that it's spam, how is it helpful to train it
that it's spam? It's not like it's going to be 110% sure that it's
spam. It's already trained!
Not trying to be a wise-ass, I've just seen this question come up fairly
often, and can't wrap my head around it.
-tom
> -O
