{"type":"rich","version":"1.0","url":"https://htn20190109.hatenablog.com/entry/2026/11/12/233058","categories":["DL"],"title":"SHAP\u306e\u5b9f\u88c5","width":"100%","published":"2026-11-12 23:30:58","author_url":"https://blog.hatena.ne.jp/HTN20190109/","blog_url":"https://htn20190109.hatenablog.com/","blog_title":"HTN20190109\u306e\u65e5\u8a18","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fhtn20190109.hatenablog.com%2Fentry%2F2026%2F11%2F12%2F233058\" title=\"SHAP\u306e\u5b9f\u88c5 - HTN20190109\u306e\u65e5\u8a18\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","image_url":null,"author_name":"HTN20190109","height":"190","description":"https://qiita.com/matsuda_tkm/items/35dfc4dcc785af000750 #pip install shap import warnings warnings.filterwarnings(\"ignore\") import lightgbm as lgbimport matplotlib.pyplot as pltimport numpy as npimport pandas as pdimport shap from sklearn.metrics import accuracy_scorefrom sklearn.metrics import roc\u2026","provider_name":"Hatena Blog","provider_url":"https://hatena.blog"}