bayesit false positives

let bayesit learn MANY "good" mails! ideally when starting with the filter more ham than spam words should be in your database (at least it should be about the same amount - lateron the spam dictionary may start to outnumber the ham dictionary as many 'senseless' words from headers or random spam will be added... but for meaningful words the stress should still be on the ham side)

(the sender is only a bit of the whole message, but bayes filter check all words in it... wanted content is the more important thing to learn!)

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z dub User Posts: 1 Rating: 0 Authority: 0 Joined: 05 December 2006	#1 0 05 December 2006 07:00:35 The bayesit plug is doing a great job with learning and flagging spam, but it is also repeatedly giving me many false positives. I repeatedly mark emails from the same senders as Not Junk but it doesn't seem to help. I hate to keep having to add whitelist rules as that sort of defeats the purpose of teaching it what is Not Junk, no? Ideas?

nlkes Master Posts: 56 Points: 99 Rating: 1 Authority: 1 Joined: 02 June 2005	#2 0 06 December 2006 12:06:17 let bayesit learn MANY "good" mails! ideally when starting with the filter more ham than spam words should be in your database (at least it should be about the same amount - lateron the spam dictionary may start to outnumber the ham dictionary as many 'senseless' words from headers or random spam will be added... but for meaningful words the stress should still be on the ham side) (the sender is only a bit of the whole message, but bayes filter check all words in it... wanted content is the more important thing to learn!)