RE: [Asrg] Fwd: Returned mail: see transcript for details

["Eric D. Williams" <eric@infobro.com>]

http://www.stat.psu.edu/~lsimon/stat250/sp00/solutions/diagtests.htm - gives an 
example.
http://www.medal.org/ch39.html - gives def's (under anchor links).

-e

On Tuesday, April 01, 2003 9:17 AM, Jon Kyme [SMTP:jrk@merseymail.com] wrote:
> Correction - apologies.
>
> >>
> >
> >
> >
> >I wonder if it might be useful to adopt the widely used ideas of
> >specificity and sensitivity.
> >
> >so if
> >TP = number of emails you want to be marked as spam that actually are so
> >marked
> >and
> >FP = number of emails marked as spam that shouldn't have been
> >and
> >FN = number of emails not marked as spam that should have been
> >
> >
> >specificity = TP/(TP + FP)
> >sensitivity = TP/(TP + FN)
> >
> >(I think I've got that right - I'm sure there are lot's of references out
> >there)
> >These measures are commonly used for comparing diagnostic tests in
> >clinical
> >applications.
> >
>
> Oops, no, I don't think that's right - it should be:
> Specificity = TN/(TN+FP)
>
> positive predictive value = TP/TP+FP
>
> It's been a very long time since I used this part of my brain.
>
> Isn't this all used in computer vision and other AI stuff?
>
> Has anyone got a good reference?
>
>
>
>
> --
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