地球资源数据云——数据资源详情
该数据集《 Pizza Restaurant Sales》主要用于监督学习任务,数据形态以文本为主,应用场景偏向文本内容分析。 题目说明:Eyy Pizza Lovers out there! Here's some data for you. 任务类型:文本监督学习。 建议流程:先做文本清洗与分词,再比较 TF - IDF+线性模型 与 预训练语言模型。 评估建议:使用分层切分或交叉验证,优先关注 F1、Recall、AUC 等分类指标。 可用文件:未检测到标准 CSV,可优先查看目录中的索引或说明文件。 Contents This pizza sales dataset make up 12 relevant features: order_id: Unique identifier for each order placed by a table order_details_id: Unique identifier for each pizza placed within each order (pizzas of the same type and size are kept in the same row, and the quantity increases) pizza_id: Unique key identifier that ties the pizza ordered to its details, like size and price quantity: Quantity ordered for each pizza of the same type and size

该数据集《 Pizza Restaurant Sales》主要用于监督学习任务,数据形态以文本为主,应用场景偏向文本内容分析。 题目说明:Eyy Pizza Lovers out there! Here's some data for you.
任务类型:文本监督学习。
建议流程:先做文本清洗与分词,再比较 TF - IDF+线性模型 与 预训练语言模型。
评估建议:使用分层切分或交叉验证,优先关注 F1、Recall、AUC 等分类指标。
可用文件:未检测到标准 CSV,可优先查看目录中的索引或说明文件。
Contents This pizza sales dataset make up 12 relevant features:
order_id: Unique identifier for each order placed by a table
order_details_id: Unique identifier for each pizza placed within each order (pizzas of the same type and size are kept in the same row, and the quantity increases)
pizza_id: Unique key identifier that ties the pizza ordered to its details, like size and price
quantity: Quantity ordered for each pizza of the same type and size