Open Dataset
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
出典: チャールズ・ゲイドン
このデータには、商品コード、倉庫、商品カテゴリ、日付、注文需要の5つの変数しか含まれていません。
私は、単純なモデルを使って、注文量に関して平均予測誤差を注文総量の80%においてわずか約20%まで下げることが可能であることを示しました。これは、このデータセットにはまだ活用されていない予測の可能性があることを証明するものです。
もう一度言いますが、読者がこの研究を続けたい場合は、予測を行うために過去数ヶ月のデータの一部のみを使用すべきです。
さらなる発展のための他のアイデア:
--> モデルに倉庫とカテゴリのデータを使用する;
--> 注文の正規化されたカテゴリ(例: 0 - 1から20% -... - 100%から120%; ここで100%は商品の過去の最大値)を予測し、線形モデルの代わりに分類器を使用する。
--> AIC、BIC、およびAICcのスコアを確認する。
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IV. Infringement and Handling Explanation:
- 1. If any data on this site involves infringement, please contact us promptly, and we will arrange for the data to be taken offline.
- 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.
- 1. If any data on this site involves infringement, please contact us promptly, and we will arrange for the data to be taken offline.