{"type":"rich","version":"1.0","blog_url":"https://www.crosshyou.info/","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/20250923/20250923180255.jpg","published":"2025-09-23 19:15:25","author_url":"https://blog.hatena.ne.jp/cross_hyou/","provider_name":"Hatena Blog","width":"100%","url":"https://www.crosshyou.info/entry/2025/09/23/191525","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fwww.crosshyou.info%2Fentry%2F2025%2F09%2F23%2F191525\" title=\"UCI Machine Learning Repository\u306eLetter Recognition\u306e\u30c7\u30fc\u30bf\u306e\u5206\u67903 - R\u306eranger\u3067A, B, C\u3092\u5206\u985e\u3059\u308b\u3002 - 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>","height":"190","provider_url":"https://hatena.blog","categories":["\u30c7\u30fc\u30bf\u5206\u6790"],"description":"www.crosshyou.info \u306e\u7d9a\u304d\u3067\u3059\u3002\u524d\u56de\u306fglmnet\u306efamily = \"multinomial\"\u306e\u30e2\u30c7\u30eb\u3067A, B, C\u3092\u5206\u985e\u3057\u307e\u3057\u305f\u3002 \u7d50\u679c\u306f\u300199.1%\u3068\u3044\u3046\u6b63\u89e3\u7387\u3067\u3057\u305f\u3002 \u4eca\u56de\u306f\u3001ranger\u30d1\u30c3\u30b1\u30fc\u30b8\u3067\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u306e\u30e2\u30c7\u30eb\u3067\u540c\u3058\u30c7\u30fc\u30bf\u3067\u4e88\u6e2c\u3057\u3066\u307f\u307e\u3059\u3002 \u307e\u305a\u306f\u3001\u30d1\u30c3\u30b1\u30fc\u30b8\u306e\u8aad\u307f\u8fbc\u307f\u3092\u3057\u307e\u3059\u3002 \u30e2\u30c7\u30eb\u3092\u69cb\u7bc9\u3057\u307e\u3059\u3002 \u30c6\u30b9\u30c8\u7528\u306e\u30c7\u30fc\u30bf\u3067\u4e88\u6e2c\u3057\u307e\u3059\u3002 \u78ba\u7387\u3092A, B, C\u306b\u5909\u63db\u3057\u307e\u3059\u3002 Confusion Matrix\u3092\u4f5c\u6210\u3057\u3066\u3001\u6b63\u89e3\u7387\u3092\u8a08\u7b97\u3057\u307e\u3059\u3002 1\u3064\u3057\u304b\u9593\u9055\u308f\u306a\u304b\u3063\u305f\u3067\u3059\u306d\uff01\u6b63\u89e3\u7387\u306f99.9%\u3067\u3059\u3002\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u306f\u5f37\u529b\u3067\u3059\u306d\u3002 \u4eca\u56de\u306f\u4ee5\u4e0a\u3067\u3059\u3002 \u306f\u3058\u3081\u304b\u3089\u8aad\u2026","author_name":"cross_hyou","title":"UCI Machine Learning Repository\u306eLetter Recognition\u306e\u30c7\u30fc\u30bf\u306e\u5206\u67903 - R\u306eranger\u3067A, B, C\u3092\u5206\u985e\u3059\u308b\u3002"}