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  1. Jun 2020
  2. bmcmedresmethodol.biomedcentral.com bmcmedresmethodol.biomedcentral.com
    Optimal classifier selection and negative bias in error rate estimation: an empirical study on high-dimensional prediction
    1
    1. edampf 03 Jun 2020
      in BehSci

      Boulesteix, A., Strobl, C. Optimal classifier selection and negative bias in error rate estimation: an empirical study on high-dimensional prediction. BMC Med Res Methodol 9, 85 (2009). https://doi.org/10.1186/1471-2288-9-85

      is:article lang:en error rate estimation classifier negative bias high-dimensional prediction tuning parameter linear discriminant analysis bias source
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    • negative bias
    • lang:en
    • prediction
    • bias source
    • high-dimensional
    • linear discriminant analysis
    • is:article
    • error rate
    • estimation
    • classifier
    • tuning parameter

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    • edampf

    URL

    bmcmedresmethodol.biomedcentral.com/articles/10.1186/1471-2288-9-85
  3. Dec 2019
  4. www.ourcommunity.com.au www.ourcommunity.com.au
    CLASSIEfier: Using machine learning to paint a picture of social sector trends - ourcommunity.com.au
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    1. mlenc 06 Dec 2019
      in Public
      taxonomy copyright open data nonprofit sector ml classifier
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    Tags

    • nonprofit sector
    • ml
    • taxonomy
    • classifier
    • copyright
    • open data

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    • mlenc

    URL

    ourcommunity.com.au/general/general_article.jsp
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