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Article #260

Re: [S] CIs for the conditional error rate of a classifier

#260
From: Prof Brian D Ripley
Date: Fri, 03 Aug 2001 19:03
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On Fri, 3 Aug 2001, Brian Steele wrote:

>  We are estimating the conditional error (or true error)
> rate of a classification rule using n-fold (leave-one-out)
> cross-validation using a relatively large data set (N=3000,
> 15 classes).  Does anyone have suggestions regarding how to
> compute an approximate confidence interval for the
> conditional error rate?

I believe the CART book suggests using Poisson CIs, and I think they are
fairly good.  That is if you have R errors,  assume R ~ Poisson(3000p) and
derive the approximate CI for p.


-- 
Brian D. Ripley,                  ripley@stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272860 (secr)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

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From: ripley@stats.ox.ac.uk (Prof Brian D Ripley)
Subject: Re: [S] CIs for the conditional error rate of a classifier
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