地球资源数据云——数据资源详情

肥胖分类数据集

该数据集《Obesity Classification Dataset》主要用于多分类任务，数据形态以表格为主，应用场景偏向医疗健康。 题目说明：Multiple Classification Dataset 任务类型：表格多分类。 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：Obesity Classification.csv。 This dataset contains information about the obesity classification of individuals. The data was collected from a variety of sources, including medical records, surveys, and self - reported data. The dataset includes the following columns: ID: A unique identifier for each individual Age: The age of the individual Gender: The gender of the individual Height: The height of the individual in centimeters Weight: The weight of the individual in kilograms BMI: The body mass index of the individual, calculated as weight divided by height squared Label: The obesity classification of the individual, which can be one of the following: Normal Weight Overweight Obese Underweight