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  <titleInfo>
    <title>Explanatory model analysis</title>
    <subTitle>explore, explain, and examine predictive models</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Biecek, Przemyslaw</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  <name type="personal">
    <namePart>Burzykowski, Tomasz</namePart>
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    <dateIssued encoding="marc">2021</dateIssued>
    <copyrightDate encoding="marc">2021</copyrightDate>
    <edition>First edition.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <extent>1 online resource (xiii, 311 pages).</extent>
  </physicalDescription>
  <abstract>Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive models and to monitor their behaviour in a changing environment. Today, the true bottleneck in predictive modelling is neither the lack of data, nor the lack of computational power, nor inadequate algorithms, nor the lack of flexible models. It is the lack of tools for model exploration (extraction of relationships learned by the model), model explanation (understanding the key factors influencing model decisions) and model examination (identification of model weaknesses and evaluation of model's performance). This book presents a collection of model agnostic methods that may be used for any black-box model together with real-world applications to classification and regression problems.</abstract>
  <note type="statement of responsibility">Przemyslaw Biecek, Tomasz Burzykowski.</note>
  <note>"A Chapman &amp; Hall Book" -- title page.</note>
  <note>1. Introduction. -- 2. Prediction Understanding. -- 3. Model Understanding. -- 4. Model Fidelity. -- 5. Other Topics.</note>
  <subject authority="lcsh">
    <topic>Mathematical models</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>BUSINESS &amp; ECONOMICS / Statistics</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>COMPUTERS / Artificial Intelligence</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>COMPUTERS / Computer Vision &amp; Pattern Recognition</topic>
  </subject>
  <classification authority="lcc">QA401 .B54 2021</classification>
  <classification authority="ddc" edition="23">511/.8</classification>
  <identifier type="isbn">9780429648731</identifier>
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