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    <identifier>10.57760/sciencedb.33914</identifier>
    <datestamp>2026-04-30T10:38:30Z</datestamp>
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  <dc:date>2026-04-30</dc:date>
  <dc:title>A Dataset for an Ensemble Multi-Feature Machine Learning Framework for Robust Prediction of Antibiotic Resistance in Acinetobacter baumannii</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.33914</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset comprises the raw data generated from the results presented in Article An Integrated Multi-Feature Ensemble Machine Learning Framework for Robust Prediction of Antibiotic Resistance in Acinetobacter baumannii. It includes resistance statistics for the collected strains, raw data for modeling metrics (median values), raw data for performance analysis, and the data used to generate the heatmap.</dc:description>
  <dc:subject> machine learning; antibiotic resistance; Acinetobacter baumannii</dc:subject>
  <dc:creator>Chunmei Li</dc:creator>
  <dc:creator>Bing Jin</dc:creator>
  <dc:creator>Fan Yang</dc:creator>
  <dc:creator>Kelan Liu</dc:creator>
  <dc:creator>Jia Liu</dc:creator>
  <dc:creator>Miao Zhu</dc:creator>
  <dc:creator>Xin Yuan</dc:creator>
  <dc:creator>Haitao Zhang</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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