地球资源数据云——数据资源详情
学生表现因素
该数据集《Student Performance Factors》主要用于监督学习任务，数据形态以表格为主。 题目说明：Insights into Student Performance and Contributing Factors 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：StudentPerformanceFactors.csv。 Description This dataset provides a comprehensive overview of various factors affecting student performance in exams. It includes information on study habits, attendance, parental involvement, and other aspects influencing academic success. Column Descriptions | Attribute | Description | | Hours_Studied | Number of hours spent studying per week. | | Attendance | Percentage of classes attended. |
摘要概览
该数据集《Student Performance Factors》主要用于监督学习任务，数据形态以表格为主。 题目说明：Insights into Student Performance and Contributing Factors
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：StudentPerformanceFactors.csv。
Description This dataset provides a comprehensive overview of various factors affecting student performance in exams. It includes information on study habits, attendance, parental involvement, and other aspects influencing academic success.
Column Descriptions
| Attribute | Description |
| Hours_Studied | Number of hours spent studying per week. |
| Attendance | Percentage of classes attended. |