{"title":"Python: XGBoost \u306e cv() \u95a2\u6570\u304b\u3089\u5b66\u7fd2\u6e08\u307f\u30e2\u30c7\u30eb\u3092\u53d6\u308a\u51fa\u3059","width":"100%","description":"\u4eca\u56de\u306f\u3001\u4ee5\u4e0b\u306e\u30a8\u30f3\u30c8\u30ea\u3092 XGBoost \u3067\u713c\u304d\u76f4\u3057\u305f\u3082\u306e\u3002 \u3064\u307e\u308a\u3001XGBoost \u3067\u3082 cv() \u95a2\u6570\u304b\u3089\u5b66\u7fd2\u6e08\u307f\u30e2\u30c7\u30eb\u3092\u53d6\u308a\u51fa\u3057\u3066 Fold Averaging \u3057\u3066\u307f\u3088\u3046\u3068\u3044\u3046\u8a71\u3002 blog.amedama.jp \u4f7f\u3063\u305f\u74b0\u5883\u306f\u6b21\u306e\u3068\u304a\u308a\u3002 $ sw_vers ProductName: Mac OS X ProductVersion: 10.14.6 BuildVersion: 18G5033 $ python -V Python 3.7.7 $ pip list | grep xgboost xgboost 1.1.1 \u4e0b\u6e96\u5099 \u5fc5\u8981\u306a\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u304a\u304f\u3002 $ pip in\u2026","author_name":"momijiame","type":"rich","blog_title":"CUBE SUGAR CONTAINER","height":"190","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fblog.amedama.jp%2Fentry%2Fxgboost-cv-model\" title=\"Python: XGBoost \u306e cv() \u95a2\u6570\u304b\u3089\u5b66\u7fd2\u6e08\u307f\u30e2\u30c7\u30eb\u3092\u53d6\u308a\u51fa\u3059 - CUBE SUGAR CONTAINER\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","version":"1.0","image_url":"https://m.media-amazon.com/images/I/418YjfYRlhL._SL160_.jpg","provider_name":"Hatena Blog","blog_url":"https://blog.amedama.jp/","provider_url":"https://hatena.blog","url":"https://blog.amedama.jp/entry/xgboost-cv-model","author_url":"https://blog.hatena.ne.jp/momijiame/","published":"2020-06-11 18:23:52","categories":["Python","XGBoost","\u6a5f\u68b0\u5b66\u7fd2","scikit-learn","macOS"]}