Data Structure ?
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Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
コンテキスト
insurance.csvデータセットには1338件の観測値（行）と7つの特徴量（列）が含まれています。このデータセットには4つの数値特徴量（年齢、BMI、子供の数、費用）と3つの名義特徴量（性別、喫煙者、地域）が含まれており、各レベルに数値が割り当てられた因子に変換されています。
謝辞
Insurance.csvファイルは、Eric Suess教授による機械学習コースのウェブサイト（2017年春）から取得しました。ウェブサイトはhttp://www.sci.csueastbay.edu/~esuess/stat6620/#week-6 です。
着想
この演習の目的は、異なる特徴量を調べてそれらの関係を観察し、年齢、身体的/家族の状況、所在地などの個人のいくつかの特徴量を元に、既存の医療費に対する重回帰分析を行い、個人の将来の医療費を予測することです。これにより、医療保険会社が保険料の設定を決定する際の参考になります。
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- 1. The data originates from internet data collection or provided by service providers, and this platform offers users the ability to view and browse datasets.
- 2. This platform serves only as a basic information display for datasets, including but not limited to image, text, video, and audio file types.
- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
- 1. All datasets on this site are copyrighted by their original publishers or data providers.
- 1. If you need to repost data from this site, please retain the original data source URL and related copyright notices.
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