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

["Jon Kyme" <jrk@merseymail.com>]

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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