On Mar 20, 2014, at 6:34 PM, Eric Broch <[email protected]> wrote: > Your welcome. Since November, I've created a much easier automated install > here. Be sure to look at the Readme file. And, as always, check the script.
Hmm. That seems to be an FTP link. I tried logging on as 'guest', but it doesn't seem to want to talk to me. I'm not really convinced by dspam yet. Untrained, it classifies everything as 'Innocent'. I fed it a massive corpus of spam and it then classified everything as 'Spam'. So I blew everything away and started over. This time, I've been feeding it an unrecognized spam (which is to say, all of it) in correction mode (i.e. --source=error). This is having a limited effect. After feeding it many hundreds of spams, it still believes that all my spam is actually 'Innocent', but at least I've shaken its confidence a bit - it's now only 85% convinced that 'Pro Viagra for Men' is a valid message. It looks like I will have a lot more training to do before I can persuade it to successfully recognize any spam at all … and then only for the particular user that I've trained. I'm also concerned that many of the messages I see are filled with hash buster text, which is designed specifically to dodge and poison statistical filters like dspam. Apologies if this is slightly off-topic, but given that dspam is under consideration for future QMT releases, I felt that I should share my experience. It's certainly not looking like a magic bullet to me at the moment. Angus
