static rules / bayesian filteringResponse on project: kSpam

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Project: kSpam (Managed by Nico Vis, Tom Lyne)

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Subject	static rules / bayesian filtering
Created	01/15/2007 02:10 PM by Gord Edge.
Modified	<none> by <none>.

Body

Bload currently is not running. Everytime we load it the CPU reaches 100% after a few hours.
Here's a deny rule we have

Deny Rule:

Priority: 100
From contains:
To contains:
Subject contains: spamtest
Body contains:
Attachments:

Action: Copy & Deny
Mark with:
Probability Increase: 0

Here's the rest of our config
Bayesian filter enabled
Enable the Bayesian filter (KS_BAYESIAN_FILTER). Yes
Token reload period
Period of time between recalculating probabilities (KS_BL_PERIOD). 360
Probability boundary
Boundary probability at which email is considered spam (KS_BAYESIAN_BOUNDARY). 90%
Mark messages with token list and probability?
Add KS_BL_PROB and KS_BL_TOKENS to incoming emails (KS_BAYESIAN_MARK). Yes
Good message ratio
Ratio of good emails passing through the server before an email is copied to the good mail database (KS_BAYESIAN_RATIO). 10
Bayesian action
Action to take when an emails are probably spam (KS_BAYESIAN_ACTION). 3 - Copy & Deny
Mark with
Text to mark emails with is the default Bayesian action is mark. (KS_BAYESIAN_ACTION_MARK_WITH).
Tokens to ignore
Tokens to ignore when calculating probabilities (KS_BL_IGNORE).
Dump token lists to file
Write token lists to files goodlist.txt and spamlist.txt (KS_BL_DUMPLISTS). No
Preparation setting 1
All emails that pass all rules without being matched are placed in the mailgood.nsf database (KS_BAYESIAN_PREP). No
Preparation setting 2
All emails with a probability greater than 90% are copied to mailspam.nsf, all emails with a probability of less than 10% are copied to mailgood.nsf (KS_BAYESIAN_PREP_2). No
Turn on debugging?
Create bload.txt log file (KS_BL_DEBUG). Yes

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