So I have a question about the settings for 'DoBayesian'. I am still having issues where my users are complaining about legitimate emails getting blocked. I would analyze some of those emails in the email interface mail analyzer and I get the result of spam probability of 1.000000. Looking at the word pairs I see a lot of common words in there listed as bad word matches. What I did last week was take a previous spamdb file we had built before we switched to MySQL as the database backend and in had ASSP import that file by using the file extension of RPL. That worked fine. I tested 1 email before and after, I got better results afterwards.
Before database replace the test email was flagged as spam. After database replace the test email was listed as good. So there was a definite improvement. There's still a lingering an issue somewhere in our database flagging so many emails as spam when they are legitimate. My question is this, for the DoBayesian setting what are the repercussions of setting this to score? Currently we are set to block, which from my understanding will block emails if it is determined to be spam. Will scoring do the same after reaching a certain score? I don't want to just switch the settings and find that my users are all of the sudden getting bombarded with spam. That would just aggravate them and not something I want to happen. Here's the current settings we are running: Bayesian & HMM Options DoBayesian = block DoHMM = disabled BayesAfterHMM = empty BayesWL = off BayesNP = off BayesLocal = off noBayesian = empty maxByesValues = 60 baysProbability = 0.6 BayesConf = 0 baysConfidenceHalfScore = on ASSP Worker/DB/Regex status = healthy ------------------------------------------------------------------------------ _______________________________________________ Assp-user mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/assp-user
