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    <identifier>10.57760/sciencedb.j00133.00089</identifier>
    <datestamp>2022-09-26T09:10:04Z</datestamp>
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  <dc:date>2022-09-26</dc:date>
  <dc:title>Funding-oriented identification model analysis</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00133.00089</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The dataset contains five files, one of which is data description, and the other four are the analysis results of four funding-oriented recognition models, namely C5.0, SVM (RBF), SVM (polynomial) and SVM (linear kernel), including the comparison analysis and evaluation measurement of predicted and actual values. The comparative analysis included conformity matrix, performance evaluation, and confidence value, and the evaluation measure included AUC value and GINI coefficient.</dc:description>
  <dc:subject>funding-oriented; machine learning; classification model</dc:subject>
  <dc:creator>wei hua nan</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/publicdomain/zero/1.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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