Spamassassin has a Bayesian classifier (a standard AI technique) in addition to its rules-base classification. You train it on positive (spam) and negative (non-spam) messages. I've been using it for at least a decade and I've been very happy with its increasing accuracy as I retrain it on correct and incorrect classifications it's made. At this point I get few errors either way.
--Greg On Sun, May 13, 2018 at 12:03:01PM +0200, Nicolas George wrote: > Hi. > > For years I have been using bogofilter as my main spam filter. But > nowadays, neural networks and machine learning have made enormous > progress. > > I wonder if there is somewhere in Debian a spam filter (working on the > same principles as bogofilter: a stand-alone program that reads a mail > from its input and outputs a diagnosis) based on these technologies and > that people find satisfactory. > > Any advice? > > Regards, > > -- > Nicolas George
