On Sun, Jun 22, 2003 at 10:45:42AM -0400, Gordon Cormack wrote:
> What I have observed is < 0.2% false > positives and < 1.0% false negatives.

I miscomputed, using only the spam count in the denominator.  The true 
numbers [false / (ham+spam)] are:

   false positives:  < 0.05%  (counted)
   false negative:   < 0.3%   (estimated)

Note:  the bayesian formula was improved substantially halfway through the 
development of version 2.60.  This improved its accuracy a lot, and also
its sensitivity to inaccurate learning.

-- 
Gordon V. Cormack     CS Dept, University of Waterloo, Canada N2L 3G1
[EMAIL PROTECTED]            http://cormack.uwaterloo.ca/cormack


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