地球资源数据云——数据资源详情

房价预测数据

该数据集《Housing Price Prediction Data》主要用于回归/预测任务，数据形态以表格为主。 题目说明：Unleash Your Data Science Skills with a Diverse Dataset 任务类型：表格回归/预测。 建议流程：先做缺失值/异常值处理与特征编码，再比较逻辑回归、随机森林、XGBoost。 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：housing_price_dataset.csv。 Explore the fascinating world of housing price prediction with this synthetic dataset. Perfect for data science enthusiasts, machine learning practitioners, and Kaggle learners, this dataset offers a diverse collection of features, including square footage, bedrooms, bathrooms, neighborhood types, and the year of construction. Immerse yourself in the challenge of predicting house prices and enhance your skills in regression analysis.