Wine Quality Data
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资源简介：
**Overview**
This data set was obtained from https://archive.ics.uci.edu/ml/datasets/wine+quality. The source of the data is:
P. Cortez, A. Cerdeira, F. Almeida, T. Matos and J. Reis.
Modeling wine preferences by data mining from physicochemical properties. In Decision Support Systems, Elsevier, 47(4):547-553, 2009.
**Dataset Information**
Please refer to Info from: [https://archive.ics.uci.edu/ml/datasets/wine+quality](url) for more information.
**License and/or Citation**
Applicable citations: P. Cortez, A. Cerdeira, F. Almeida, T. Matos and J. Reis. Modeling wine preferences by data mining from physicochemical properties. In Decision Support Systems, Elsevier, 47(4):547-553, 2009.
We are very grateful to the UCI UCI Machine Learning Repository.
**概述**
本数据集获取自https://archive.ics.uci.edu/ml/datasets/wine+quality。该数据的来源文献为：P. Cortez、A. Cerdeira、F. Almeida、T. Matos与J. Reis所著《基于理化属性数据挖掘构建葡萄酒偏好模型》，发表于《决策支持系统》（Decision Support Systems），爱思唯尔（Elsevier）出版社2009年第47卷第4期，页码547-553。
**数据集信息**
如需获取更多数据集相关信息，请参阅链接：https://archive.ics.uci.edu/ml/datasets/wine+quality。
**授权与引用规范**
适用引用文献：P. Cortez、A. Cerdeira、F. Almeida、T. Matos与J. Reis所著《基于理化属性数据挖掘构建葡萄酒偏好模型》，发表于《决策支持系统》（Decision Support Systems），爱思唯尔（Elsevier）出版社2009年第47卷第4期，页码547-553。
我们谨向UCI机器学习存储库（UCI Machine Learning Repository）致以诚挚谢意。
提供机构：
Databricks
