地球资源数据云——数据资源详情

学生生活方式数据集

该数据集《student lifestyle dataset》主要用于监督学习任务，数据形态以表格为主，应用场景偏向医疗健康。 题目说明：Daily Lifestyle and Academic Performance of Students 任务类型：表格监督学习。 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：student_lifestyle_dataset.csv。 This dataset provides a detailed view of student lifestyle patterns and their correlation with academic performance, represented by GPA. It contains 2,000 records of students' daily habits across study, extracurriculars, sleep, socializing, and physical activities. Each student's stress level is derived based on study and sleep hours, offering insights into how lifestyle factors may impact academic outcomes. This data can support analyses in education, psychology, and health research fields, making it ideal for projects on lifestyle management, academic performance prediction, and well - being assessments.