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    <identifier>10.57760/sciencedb.xbyxb.00167</identifier>
    <datestamp>2026-06-01T16:18:02Z</datestamp>
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  <dc:date>2026-06-01</dc:date>
  <dc:title>ROC curve and predicted probability distribution of the PLS-DA model for distinguishing patients with schizophrenia from healthy controls</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.xbyxb.00167</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This supplementary material presents the classification performance of the partial least squares discriminant analysis (PLS-DA) model in distinguishing patients with schizophrenia from healthy controls, including the receiver operating characteristic (ROC) curve and the predicted probability distribution. These results were used to evaluate the discriminative ability of the model between the two groups.</dc:description>
  <dc:subject>Schizophrenia; Healthy controls; PLS-DA; ROC curve; Predicted probability</dc:subject>
  <dc:creator>Xu Sheng</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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