Classification accuracy comparison: hypothesis tests and the use of confidence intervals in evaluations of difference, equivalence and non-inferiority

The comparison of classification accuracy statements has generally been based upon tests of difference or inequality when other scenarios and approaches may be more appropriate. Procedures for evaluating two scenarios with interest focused on the similarity in accuracy values, non-inferiority and eq...

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Main Author: Foody, Giles M.
Format: Article
Published: Elsevier 2009
Online Access:https://eprints.nottingham.ac.uk/1866/
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author Foody, Giles M.
author_facet Foody, Giles M.
author_sort Foody, Giles M.
building Nottingham Research Data Repository
collection Online Access
description The comparison of classification accuracy statements has generally been based upon tests of difference or inequality when other scenarios and approaches may be more appropriate. Procedures for evaluating two scenarios with interest focused on the similarity in accuracy values, non-inferiority and equivalence, are outlined following a discussion of tests of difference (inequality). It is also suggested that the confidence interval of the difference in classification accuracy may be used as well as or instead of conventional hypothesis testing to reveal more information about the disparity in the classification accuracy values compared.
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spelling nottingham-18662020-05-04T20:26:45Z https://eprints.nottingham.ac.uk/1866/ Classification accuracy comparison: hypothesis tests and the use of confidence intervals in evaluations of difference, equivalence and non-inferiority Foody, Giles M. The comparison of classification accuracy statements has generally been based upon tests of difference or inequality when other scenarios and approaches may be more appropriate. Procedures for evaluating two scenarios with interest focused on the similarity in accuracy values, non-inferiority and equivalence, are outlined following a discussion of tests of difference (inequality). It is also suggested that the confidence interval of the difference in classification accuracy may be used as well as or instead of conventional hypothesis testing to reveal more information about the disparity in the classification accuracy values compared. Elsevier 2009 Article PeerReviewed Foody, Giles M. (2009) Classification accuracy comparison: hypothesis tests and the use of confidence intervals in evaluations of difference, equivalence and non-inferiority. Remote Sensing of Environment, 113 (8). pp. 1658-1663. ISSN 0034-4257 http://dx.doi.org/10.1016/j.rse.2009.03.014 doi:10.1016/j.rse.2009.03.014 doi:10.1016/j.rse.2009.03.014
spellingShingle Foody, Giles M.
Classification accuracy comparison: hypothesis tests and the use of confidence intervals in evaluations of difference, equivalence and non-inferiority
title Classification accuracy comparison: hypothesis tests and the use of confidence intervals in evaluations of difference, equivalence and non-inferiority
title_full Classification accuracy comparison: hypothesis tests and the use of confidence intervals in evaluations of difference, equivalence and non-inferiority
title_fullStr Classification accuracy comparison: hypothesis tests and the use of confidence intervals in evaluations of difference, equivalence and non-inferiority
title_full_unstemmed Classification accuracy comparison: hypothesis tests and the use of confidence intervals in evaluations of difference, equivalence and non-inferiority
title_short Classification accuracy comparison: hypothesis tests and the use of confidence intervals in evaluations of difference, equivalence and non-inferiority
title_sort classification accuracy comparison: hypothesis tests and the use of confidence intervals in evaluations of difference, equivalence and non-inferiority
url https://eprints.nottingham.ac.uk/1866/
https://eprints.nottingham.ac.uk/1866/
https://eprints.nottingham.ac.uk/1866/