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  <titleInfo>
    <title>Explainable comparative analysis of ML models for diabetes risk prediction</title>
  </titleInfo>
  <name type="personal">
    <namePart>Yusuf Abdi Yusuf (61134)</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Islamabad</placeTerm>
    </place>
    <publisher>(unpublished)</publisher>
    <dateIssued>2026</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <physicalDescription>
    <extent>ix, 87 p. : ill., Col. ; 30 cm. +CD</extent>
  </physicalDescription>
  <note>Submitted in fulfilment of the requirement for the degree of Master of Science in Data Science to the Faculty of Computing.</note>
  <note>Includes bibliographical references.</note>
  <note>Thesis supervisor: Prof. Dr. Muhammad Mansoor Alam

</note>
  <note>Thesis (MS)--Riphah International University, 2026</note>
  <note>English</note>
  <subject>
    <topic>Data science</topic>
    <topic>XGboost regression</topic>
    <topic>Machine learning</topic>
    <topic>Logistic regression</topic>
    <topic>Vector machine</topic>
    <topic>Diabeties</topic>
    <topic>RISE</topic>
  </subject>
  <classification authority="ddc">005.8 YUS</classification>
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    <recordContentSource authority="marcorg"/>
    <recordChangeDate encoding="iso8601">20260721102158.0</recordChangeDate>
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