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
購買転化率は、ブランドビジネスマンが電子商取引プラットフォームで運営する際に最も注目する指標の一つです。今回の大会では、雲積互動がブランドビジネスマンの過去の注文データを提供し、参加者は人工知能技術を通じて予測モデルを構築し、ユーザーが指定された期間内に購買行動を起こす確率を予測します。
大会詳細
データ内容
大会データ（匿名化後）は、一定期間内の顧客の購買行動データを抽出したもので、予選と本選の2つの段階で提供されるサンプルの規模が異なります。参加者は特徴フィールドの情報に基づいてモデルを構築し、すべての既購入顧客が今後30日以内に購買する確率を予測します。
具体的な説明は以下の通りです。
訓練セット:round2_diac2019_train.csv 。各行のデータは1つの訓練サンプルを表し、各フィールドはカンマで区切られ、1回の購買行動の基本情報とコンテキスト情報を含みます。
テストセット: round2_diac2019_test.csv 。各行のデータは1つのテストサンプルを表し、形式は「customer_id, result」で、ユーザーIDと予測結果を表します。 3. 各種フィールドデータの説明は以下の通りです。
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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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