Junk mail reason

[cljoshi]

Hello,

Can it be possible that the user can see or view or get the reason, why the received mail was detected as junk. If yes, then how can we view that or from where.

We have checked the header and have got :

X-Spam-Status: Yes, score=6.772 tagged_above=-10 required=6.6
tests=[ALL_TRUSTED=-1, BAYES_99=3.5, DEAR_SOMETHING=1.973,
FM_IS_IT_OUR_ACCOUNT=2.299] autolearn=no

Anyone plz ?

[Krishopper]

The two that jump out the most are: BAYES_99=3.5, DEAR_SOMETHING=1.973

DEAR_SOMETHING is when an email has "Dear (IT|Internet|candidate|sir|sirs|madam|investor|tra veler|car shopper|web", which is typically found in spam

BAYES_99 means the Bayesian Spam score was 99%.

I'd make sure to click "NOT JUNK" if the message is valid, so that Bayes gets retrained properly. I've had great success with Bayes in the past, given that you properly flag messages if they get mis-classified.

[MACscr]

Originally Posted by Krishopper

The two that jump out the most are: BAYES_99=3.5, DEAR_SOMETHING=1.973

DEAR_SOMETHING is when an email has "Dear (IT|Internet|candidate|sir|sirs|madam|investor|tra veler|car shopper|web", which is typically found in spam

BAYES_99 means the Bayesian Spam score was 99%.

I'd make sure to click "NOT JUNK" if the message is valid, so that Bayes gets retrained properly. I've had great success with Bayes in the past, given that you properly flag messages if they get mis-classified.

When you say in the past, does that mean your using something different now? If so, what?

[Krishopper]

Sorry, I mis-spoke. I'm still using Bayes within SpamAsssassin, and also using DSPAM, and they are both contributing very well to filtering out spam.

There was a point in time before we used Zimbra where I used DSPAM exclusively with nothing else, and we had great results; that is why I said that I have had great luck with Bayesian filtering in the past.