地球资源数据云——数据资源详情
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. |

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. |
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。
数据格式为 CSV。
在本页登录后即可下载。建议引用格式:地球资源数据云. 学生表现因素. https://www.gis5g.com/dataset/2031997304092135425