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Alexander K. Seewald writes:
> I've tested just training the NB model within SA, and
> to some extent it works, but it is unclear how far you can go with
> that... at some point it is likely to break down, and rule weight
> have to be adapted.

By the way, it's worth noting that SpamAssassin's bayes-like probabilistic
classifier (in other words the "BAYES_*" rules), and spambayes are almost
identical in implementation, so results should be very similar.

However, we include a method for expiring data, to control database
growth, whereas they do not (afaik); in addition, there's been a few
differences in tokenizer features, and the odd constant tweaked.  But
generally, it should be very close.

Having said that, we haven't changed the tokenizer or algorithms in quite
a while, and they may have been innovating in the meantime. ;)

- --j.
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