> Can any body tell me when does Bayes00 gives the score. Is it
>
> 1) If a mail has a lot of tokens that Bayes has never seen before.
> or
> 2) If the mail has a lot of tokens that Bayes has previously learnt has
> spam.
3) Neither.
Bayes 00 means that Bayes has seen lots of tokens and Bayes is absolutely
sure this is *ham*. FYI, Bayes_50 (which you will probably never see) means
that Bayes doesn't know one way or the other, and Bayes_99 means that it is
sure spam.
> The reason of my weird question is that recently I have suddenly started
> recieving a huge chunk of Payroll Spams from Indian spammers and my
> Bayes always gives them a score of -4.9. And after individually giving
> feedback of every mail i manage to get some better score from bayes on
> these mails. I think my bayes is badly poisoned, however i need to give
I can't say of it is poisoned, mis-trained, or if you actually do get a lot
of ham that just happens to look like these spams to Bayes. But in any case
it thinks it is dealing with ham.
> a good explaination to my Boss before i nuke my bayes and start all over
> again.
You may not have to blow it away if you can at least get it trained back
into neutraility on this spam. Is it giving you problems on other things
also, or just this?
On the other hand, you might be best off just killing it and starting fresh.
Loren
