ON ASSESSING EFFICIENCY OF AN ALTERNATIVE CLASSIFIER THROUGH SENSITIVITY AND SPECIFICITY

Simple item page
dc.contributor.authorSanni, Olusola O. M.
dc.contributor.authorJolayemi, Emmanuel T.
dc.contributor.authorIkoba, Nehemiah A.
dc.contributor.authorAdeniyi, Olakiitan I.
dc.date.accessioned2018-12-07T12:52:25Z
dc.date.available2018-12-07T12:52:25Z
dc.date.issued2017-05-01
dc.description.abstractWe examine the efficiency of a competing classifier through sensitivity and specificity, utilizing a Monte Carlo Study.We observed that when sensitivity or specificity or both are low, the efficiency of such classifier is poor and not desirable. We found that even with large sample size empirical efficiency does not show any appreciable difference. Our results suggest that estimation of efficiency is not good when we have small sample sizes (< 30 ). We found that if the sensitivity or specificity or both are high (> 0.75 ), such classifier have good efficiency. This is slightly more relaxed than the results by other researchers where sensitivity and specificity of .80 or higher was recommended.en_US
dc.identifier.issn0974-5548
dc.identifier.urihttp://hdl.handle.net/123456789/1392
dc.language.isoenen_US
dc.publisherInternational Centre for Advance Studiesen_US
dc.relation.ispartofseriesJournal of Mathematical Sciences;Vol. 28, No. 1, pp.9-15
dc.subjectSensitivityen_US
dc.subjectSpecificityen_US
dc.subjectEfficiencyen_US
dc.subjectCompeting Classifieren_US
dc.subjectScreening Testen_US
dc.titleON ASSESSING EFFICIENCY OF AN ALTERNATIVE CLASSIFIER THROUGH SENSITIVITY AND SPECIFICITYen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Sanni, et al, 2017, J. of Mathematical Sc..pdf
Size:
128.27 KB
Format:
Adobe Portable Document Format
Description:
Main article
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.69 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections