{"image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/c/cross_hyou/20240519/20240519075500.jpg","type":"rich","height":"190","provider_url":"https://hatena.blog","author_name":"cross_hyou","provider_name":"Hatena Blog","blog_title":"R\u3067\u4f55\u304b\u3092\u3057\u305f\u308a\u3001\u8aad\u66f8\u3092\u3059\u308b\u30d6\u30ed\u30b0","categories":["Data_Analysis"],"published":"2024-05-19 08:20:45","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\u2026","title":"World Bank's Pregnant women receiving prenatal care (%) data analysis 7 - Random Forest Method with \"tidymodel\"","url":"https://www.crosshyou.info/entry/2024/05/19/082045","width":"100%","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fwww.crosshyou.info%2Fentry%2F2024%2F05%2F19%2F082045\" title=\"World Bank&#39;s Pregnant women receiving prenatal care (%) data analysis 7 - Random Forest Method with &quot;tidymodel&quot; - R\u3067\u4f55\u304b\u3092\u3057\u305f\u308a\u3001\u8aad\u66f8\u3092\u3059\u308b\u30d6\u30ed\u30b0\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","blog_url":"https://www.crosshyou.info/","version":"1.0","author_url":"https://blog.hatena.ne.jp/cross_hyou/"}