On Wed, 21 May 2014 21:34:23 -0700 Ian Zimmerman wrote: > I don't understand this setting, and reading the documentation doesn't > help. > > It seems it sould make bayes learn spam whenever the total score > surpasses the value of bayes_auto_learn_threshold_spam, and not > require 3 points from header and body each; that would make it a > global setting similar in purpose to bayes_auto_learn_threshold_spam. > > But in fact this is a per-test setting, a subcategory of tflags. Do I > have to specify it separately for every test? Why?
The point is to set it for a small number of rules that are sufficiently strong as to guarantee there will be no mislearning in combination with the autolearn as spam threshold. It's probably best to create a single metarule for this - something that eliminates the possibility of mistraining through a lot of overlapping rules. I do something similar to get more spam into my high-scoring folder. I assign a lot of the near-certain spam rules to different classes: BAYES, RBLs, URIBLs, relaycountry etc and then count the number of classes.
