Strange scoring problem

[Sam]

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shuttlebox a écrit :

> It's important that you know what the name of the rule means. The two 
> digits marks the probability of the mail being spam. That's why 
> BAYES_50 should have a score of 0, because it can't be determined if 
> it's spam or ham. If you look at the original scores below that is 
> very obvious (the 4th column of scores is the one you should look at).
> score BAYES_00 0.0001 0.0001 -2.312 -2.599
> score BAYES_05 0.0001 0.0001 -1.110 -1.110
> score BAYES_20 0.0001 0.0001 -0.740 -0.740
> score BAYES_40 0.0001 0.0001 -0.185 -0.185
> score BAYES_50 0.0001 0.0001 0.001 0.001
> score BAYES_60 0.0001 0.0001 1.0 1.0
> score BAYES_80 0.0001 0.0001 2.0 2.0
> score BAYES_95 0.0001 0.0001 3.0 3.0
> score BAYES_99 0.0001 0.0001 3.5 3.5
>
> Make sure you use the SURBL-rules, they are by far my best spam catchers.


Ok, I anderstand and I'm going to follow what you're saying.

Thanks.
Sam.

P.S
I'm on the spamassassin mailing-liste now ;-)

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