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    <responseDate>2026-10-14T17:18:34Z</responseDate>
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    <identifier>10.57760/sciencedb.00zr6</identifier>
    <datestamp>2026-08-20T10:59:04Z</datestamp>
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  <dc:date>2026-08-20</dc:date>
  <dc:title>Five UCI Benchmark Classification Datasets</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.00zr6</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset contains five publicly available classification datasets from the UCI Machine Learning Repository (Parkinson, Statlog Heart, Liver Disorders, Haberman's Survival, and Glass Identification). Each dataset was randomly split into training (60%) and test (20%) sets and is provided in CSV format with feature columns and a label column. The datasets cover both binary and multi-class classification tasks, with sample sizes ranging from 195 to 345, spanning varying data scales and task types.</dc:description>
  <dc:subject>particle swarm optimization; kernel extreme learning machine (KELM); classification; UCI datasets</dc:subject>
  <dc:creator>Shiwei Hou</dc:creator>
  <dc:creator>Haoran Sun</dc:creator>
  <dc:creator>limi</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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