Re: Tips on training bayes?

>
>
> It is up to the user, ie you, what is and what is not spam.
>

Well, yes, and no.

Of course it's my own system and I can define these terms however I wish.
I'm also familiar with the need to investigate every message - perhaps I
should have made that clear initially.

It's only these few types of messages that are very subjective and
experience from the broader open source community would be appreciated.

If it has a legitimate unsubscribe link, does that make it ham?

What criteria do you use to determine "spamminess/haminess of EVERY
message"?

Is the goal to have every message one of either BAYES_00 or BAYES_99 or is
it okay that newsletters (for example) are BAYES_50, and let other rules,
like network checks, determine the score?

Thanks,
Alex