地球资源数据云——数据资源详情
医疗保险费用数据集
该数据集《Medical Insurance Cost Dataset》主要用于回归/预测任务，数据形态以表格为主，应用场景偏向医疗健康。 题目说明：Predict health insurance charges based on demographic and lifestyle factors 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：insurance.csv。 This dataset contains medical insurance cost information for 1338 individuals. It includes demographic and health - related variables such as age, sex, BMI, number of children, smoking status, and residential region in the US. The target variable is charges, which represents the medical insurance cost billed to the individual. The dataset is commonly used for: Regression modeling Health economics research Insurance pricing analysis
摘要概览
该数据集《Medical Insurance Cost Dataset》主要用于回归/预测任务，数据形态以表格为主，应用场景偏向医疗健康。 题目说明：Predict health insurance charges based on demographic and lifestyle factors
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：insurance.csv。
This dataset contains medical insurance cost information for 1338 individuals. It includes demographic and health - related variables such as age, sex, BMI, number of children, smoking status, and residential region in the US. The target variable is charges, which represents the medical insurance cost billed to the individual.
The dataset is commonly used for:
Regression modeling
Health economics research
Insurance pricing analysis