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    <title>DSpace Collection: IJSRD - International Journal for Scientific Research &amp; Development</title>
    <link>http://localhost:8080/xmlui/handle/123456789/2161</link>
    <description>IJSRD - International Journal for Scientific Research &amp; Development</description>
    <pubDate>Tue, 23 Jun 2026 06:29:52 GMT</pubDate>
    <dc:date>2026-06-23T06:29:52Z</dc:date>
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      <title>Review on Multilabel Classification Algorithms</title>
      <link>http://localhost:8080/xmlui/handle/123456789/2162</link>
      <description>Title: Review on Multilabel Classification Algorithms
Authors: Chaudhari, Ms. Prajakta C.; Prof. Dr. S. S. Sane
Abstract: Multilabel classification is a framework in which&#xD;
each input data in training data set can be related to more&#xD;
than one class labels simultaneously. The goal of multilabel&#xD;
classification is to produce set of labels for unseen instances&#xD;
by analyzing training dataset. This paper presents&#xD;
fundamentals of multilabel classification, some multilabel&#xD;
classification algorithms and evaluation metrics</description>
      <pubDate>Mon, 01 Feb 2016 00:00:00 GMT</pubDate>
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      <dc:date>2016-02-01T00:00:00Z</dc:date>
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