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  <author_name>cross_hyou</author_name>
  <author_url>https://blog.hatena.ne.jp/cross_hyou/</author_url>
  <blog_title>Rで何かをしたり、読書をするブログ</blog_title>
  <blog_url>https://www.crosshyou.info/</blog_url>
  <categories>
    <anon>Data_Analysis</anon>
  </categories>
  <description>Generated by Bing Image Creator: Long view photo of Yakushima Island www.crosshyou.info This post is following of the above post. In the above post, I use Logistinc Regression to predict ninety. In this post I will use Random Forest. I refere to tidymodels - Evaluate your model with resampling First…</description>
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  <provider_name>Hatena Blog</provider_name>
  <provider_url>https://hatena.blog</provider_url>
  <published>2024-05-19 08:20:45</published>
  <title>World Bank's Pregnant women receiving prenatal care (%) data analysis 7 - Random Forest Method with &quot;tidymodel&quot;</title>
  <type>rich</type>
  <url>https://www.crosshyou.info/entry/2024/05/19/082045</url>
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