Hi, I am losing confident in SA, the training process is pretty slow or it doesn't seem to be learning.
I am training SA with around 30-50 manually identified spam (moving spam mails to and spam folder created in squirrelmail and crond the sa-train command on that folder every hour to train and delete them). The script is tested to be working on the shell before I put it on crond However, I found that the learning process is either not right or it is rather slow. I gone through the headers of the spams and found that even almost identical (in content) spams always got a score 0.1 and these spams are received on separated occasions across several days. This had made me losing confident on SA. I wonder if had it setup correct to detect and learn spams . I am using a default setup from qmail-toaster cnt50 , do I need more filters to harden my defense? Any recommendations you will be appreciated. Here are sample samples I taken from my mailbox on this server, (eg, sample spam 1 and 8 are almost identical in content but they are both scored with only 0.1 . : ( http://www.keac.com/id3303/spam-egs.txt
