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[Paranoid]

You might want to state how long you have being using your spam filter, the typical amount of emails you get , the main types of filtering techniques used (bayesian, blacklists, reg exp etc.)

I'm looking for raw classification rates,
That is

number of successful classifications / total number of email.

So if you have 100 emails classified as 10 good and 90 spam, and 8 are classified wrongly (say 5 classified as spam are actually good, and 3 classified as good are actually spam) , your accuracy rate is (100-5-3)/100* 100% = 92%

Edited by Paranoid, 06 July 2004 - 11:51 AM.