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Praetor Questions Go to Praetor FAQ: Exchange
Go to Praetor FAQ: Domino
Go to Praetor FAQ: Install

  How does Praetor provide better Bayesian filtering?
CMS has over 20 years of experience in the world of email and related issues.  Drawing from this vast knowledgebase and experience, CMS designed Praetor to offer better Bayesian filtering.

Upon installation, Praetor has access to a default token database trained from several thousand message samples.  With 85% of the sample messages in this database being spam, there is no need to perform any initial bulk training.  Praetor's Bayesian filtering protection begins immediately.

From this default starting point, subsequent training can be performed.  Praetor's "On-The-Fly" training simplifies this process by automatically capturing samples.  You can then review them to identify which are non-spam messages which the Bayesian filter classifies as 'Unsure'.  For further recommendations read the Bayesian Training Tips page.

As your actual message traffic is analyzed and added to the token database, Praetor's Bayesian filter will work even better.

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