Multiclass Classification and Support Vector Machine

Multiclass Classification and Support Vector Machine

Yashima Ahuja

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Sumit Kumar Yadav

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1 Lovely Professional University

GJCST Volume 12 Issue G11

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The objective of our study was to evaluate, in a population of Togolese People Living With HIV(PLWHIV), the agreement between three scores derived from the general population namely the Framingham score, the Systematic Coronary Risk Evaluation (SCORE), the evaluation of the cardiovascular risk (CVR) according to the World Health Organization.

In this paper we have studied the concept and need of Multiclass classification in scientific research. Various classification approaches are discussed in brief. Support Vector Machines (SVM) has well known record in Binary Classification. Our major emphasis in this paper is to study the fitness of Support Vector Machines in multiclass classification.

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No external funding was declared for this work.

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The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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Yashima Ahuja. 2012. \u201cMulticlass Classification and Support Vector Machine\u201d. Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 12 (GJCST Volume 12 Issue G11): .

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GJCST Volume 12 Issue G11
Pg. 15- 19

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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Submission ReceivedDecember 12, 2011
RevisedDecember 12, 2011
Peer Review Double Blind
Handling Editor
Accepted January 5, 2012
Published January 15, 2012

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v1.2

Issue date

December 31, 2012

Language

English

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Article Matrices

Total Score: 102

Country: India

Subject: Global Journal of Computer Science and Technology - G: Interdisciplinary

Authors: Yashima Ahuja, Sumit Kumar Yadav (PhD/Dr. count: 0)

View Count (all-time): 220

Total Views (Real + Logic): 9960

Total Downloads (simulated): 2468

Publish Date: 2012 12, Mon

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Total Views: 9960

Total Downloads: 2468

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