NDLI: The problem of Area Under the Curve

Content Provider	IEEE Xplore Digital Library
Author	Powers, D.M.W.
Copyright Year	2012
Description	Author affiliation: School of Computer Science, Engineering & Mathematics, Flinders University, South Australia (Powers, D.M.W.)
Abstract	Receiver Operating Characterics curves have recently received considerable attention as mechanisms for comparing different algorithms or experimental results. However the common approach of comparing Area Under the Curve has come in for some criticism with alternatives such as Area Under Kappa and H-measure being proposed as alternative measure. However, these measures have their own idiosyncracies and neglect certain advantages of RoC analysis that do not carry over to the proposed approach. In addition they suffer from the general desire for a one fits all mentality as opposed to a pareto approach. That is we want a single number to optimize, rather than a suite of numbers to trade off. The starting point for all of this research is the inadequacy and bias of traditional measures such as Accuracy, Recall and Precision, and F-measure — these should never be used singly or as a group, and ROC analysis is a very good alternative to them if used correctly, but treating it as a graph rather than trying to boil it down to a single number. Other measures that seek to remove the bias in traditional measures include Krippendorf's Alpha, Scott's Pi, Powers' Informedness and Markedness, as well as a great many variant Kappa statistics. The original Kappa statistics were intrinsically dichotomous but the family has been well generalized to allow for multiple classes and multiple sources of labels. We discuss the proper and improper use of ROC curves, the issues with AUC and Kappa, and make a recommendation as to the approach to take in comparing experimental algorithms or other kinds of tests.
Starting Page	567
Ending Page	573
File Size	798221
Page Count	7
File Format	PDF
ISBN	9781457703430
e-ISBN	9781457703454
DOI	10.1109/ICIST.2012.6221710
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy Correlation Sensitivity Area measurement Psychology Probability Probabilistic logic
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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