How to Choose a Bayesian Analyzer

Choosing the right Bayesian-style analyzer to run on your network is difficult because there are many Bayesian implementations to choose from. Some of the questions to ask when choosing a Bayesian implementation include

  • What level of sophistication are my users?

  • How many users am I supporting?

  • Is message scoring (for example, SpamAssassin) “good enough?”

  • Is retraining the Bayesian analyzer important to my configuration? If so, can I handle the support load? Can my users learn how to manage filter retraining?

  • How accurate do I want the analyzer to be?

As with most things, choosing which Bayesian-style classifier to use is about managing trade-offs. The more features a solution has, the harder it is to manage. The ...

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