{"blog_title":"R\u3067\u4f55\u304b\u3092\u3057\u305f\u308a\u3001\u8aad\u66f8\u3092\u3059\u308b\u30d6\u30ed\u30b0","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/c/cross_hyou/20260704/20260704171921.jpg","author_url":"https://blog.hatena.ne.jp/cross_hyou/","height":"190","type":"rich","version":"1.0","published":"2026-07-04 17:48:00","categories":["Data_Analysis","\u30c7\u30fc\u30bf\u5206\u6790"],"author_name":"cross_hyou","width":"100%","title":"IEA Gender and Energy Employment Data Analysis 5 - splitting data by training data and testing data","blog_url":"https://www.crosshyou.info/","provider_url":"https://hatena.blog","url":"https://www.crosshyou.info/entry/2026/07/04/174800","description":"Unsplash\u306eMohammad Ebesh\u304c\u64ae\u5f71\u3057\u305f\u5199\u771f\u306eMohammad Ebesh\u304c\u64ae\u5f71\u3057\u305f\u30a4\u30e9\u30b9\u30c8\u7d20\u6750 www.crosshyou.info This post is contuniuation of above post.Starting with this session, we'll be working on machine learning. First, we'll split the data into training data and test data.First, let's load 'tidymodels' package. I use initial_sp\u2026","provider_name":"Hatena Blog","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fwww.crosshyou.info%2Fentry%2F2026%2F07%2F04%2F174800\" title=\"IEA Gender and Energy Employment Data Analysis 5 - splitting data by training data and testing data - 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>"}