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.