<?xml version="1.0" encoding="UTF-8"?>
<article article-type="research-article" xml:lang="en" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="publisher">global-journal-of-computer-science-and-technology-g-interdisciplinary</journal-id>
<journal-title-group>
<journal-title>Global Journal of Computer Science and Technology - G: Interdisciplinary</journal-title>
</journal-title-group>
<issn publication-format="print">0975-4350</issn>
<issn publication-format="electronic">0975-4172</issn>
<publisher><publisher-name>Global Journals Publishing Group Incorporated</publisher-name></publisher>
<self-uri xlink:href="https://globaljournals.org/journal-seo-export/jats/75250.xml" />
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">75250</article-id>
<title-group>
<article-title>Multiclass Classification and Support Vector Machine</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Ahuja</surname><given-names>Yashima</given-names></name><xref ref-type="aff" rid="aff1" />
</contrib>
</contrib-group>
<aff id="aff1">INDIA, Lovely Professional University</aff>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2012-01-15">
<day>15</day>
<month>01</month>
<year>2012</year>
</pub-date>
<volume>12</volume>
<issue>G11</issue>
<fpage>15</fpage>
<lpage>19</lpage>
<abstract><p>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.</p></abstract>
<self-uri content-type="pdf" xlink:href="https://globaljournals.org/GJCST_Volume12/2-Multiclass-Classification-and.pdf" />
<self-uri content-type="html" xlink:href="https://globaljournals.org/scholarly-articles/multiclass-classification-and-support-vector-machine/" />
</article-meta>
</front>
<body>
<sec>
<title>Full Text</title>
<p>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.</p>
</sec>
</body>
</article>