地球资源数据云——数据资源详情
汽车销售数据集：型号、功能和定价
该数据集《Car Sales Dataset: Model, Features, and Pricing》主要用于回归/预测任务，数据形态以表格为主，应用场景偏向交通/汽车。 题目说明：Comprehensive dataset of 50k car listings with technical specifications, mileage 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：car_sales_data.csv。 This dataset contains detailed information on car sales, covering multiple manufacturers and models. It is suitable for data analysis, price prediction, market trend analysis, machine learning, and exploratory data analysis (EDA). The dataset includes information about manufacturers, car models, engine specifications, fuel type, year of manufacture, mileage, and final sale price. Researchers, data scientists, and machine learning practitioners can use this dataset for: Price prediction models (e.g., regression, XGBoost, deep learning) Car valuation analysis for resale markets
摘要概览
该数据集《Car Sales Dataset: Model, Features, and Pricing》主要用于回归/预测任务，数据形态以表格为主，应用场景偏向交通/汽车。 题目说明：Comprehensive dataset of 50k car listings with technical specifications, mileage
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：car_sales_data.csv。
This dataset contains detailed information on car sales, covering multiple manufacturers and models. It is suitable for data analysis, price prediction, market trend analysis, machine learning, and exploratory data analysis (EDA).
The dataset includes information about manufacturers, car models, engine specifications, fuel type, year of manufacture, mileage, and final sale price.
Researchers, data scientists, and machine learning practitioners can use this dataset for:
Price prediction models (e.g., regression, XGBoost, deep learning)
Car valuation analysis for resale markets