地球资源数据云——数据资源详情
巴黎住房分类
该数据集《Paris Housing Classification》主要用于多分类任务，数据形态以文本为主，应用场景偏向环保分类。 题目说明：Dataset for classification of houses in 2 categories: Luxury and Basic 任务类型：文本多分类。 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：ParisHousingClass.csv, ParisHousingClass99.88.csv。 Context This is a set of data created from imaginary data of house prices in an urban environment - Paris. I recommend using this dataset for educational purposes, for practice and to acquire the necessary knowledge. I've made a regression dataset from same data, here you can find it - - - >classification dataset < - - - There are 2 files, one is with 100% of correctly classified instances - ParisHousing.csv, the other one is with 99.88% and it's name is ParisHousing99.88.csv Content What's inside is more than just rows and columns. You can see house details listed as column names.
摘要概览
该数据集《Paris Housing Classification》主要用于多分类任务，数据形态以文本为主，应用场景偏向环保分类。 题目说明：Dataset for classification of houses in 2 categories: Luxury and Basic
任务类型：文本多分类。
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：ParisHousingClass.csv, ParisHousingClass99.88.csv。
Context
This is a set of data created from imaginary data of house prices in an urban environment - Paris. I recommend using this dataset for educational purposes, for practice and to acquire the necessary knowledge.
I've made a regression dataset from same data, here you can find it - - - >classification dataset < - - - There are 2 files, one is with 100% of correctly classified instances - ParisHousing.csv, the other one is with 99.88% and it's name is ParisHousing99.88.csv
Content
What's inside is more than just rows and columns. You can see house details listed as column names.