地球资源数据云——数据资源详情
该数据集《Student Study Performance》主要用于监督学习任务,数据形态以表格为主。 题目说明:Marks secured by the students in various subjects 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:study_performance.csv。 Problem Statement: This project understands how the student's performance (test scores) is affected by other variables such as Gender, Ethnicity, Parental level of education, Lunch and Test preparation course. Content This data set consists of the marks secured by the students in various subjects. gender : sex of students - > (Male/female) race/ethnicity : ethnicity of students - > (Group A, B,C, D,E)

该数据集《Student Study Performance》主要用于监督学习任务,数据形态以表格为主。 题目说明:Marks secured by the students in various subjects
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:study_performance.csv。
Problem Statement: This project understands how the student's performance (test scores) is affected by other variables such as Gender, Ethnicity, Parental level of education, Lunch and Test preparation course.
Content
This data set consists of the marks secured by the students in various subjects.
gender : sex of students - > (Male/female)
race/ethnicity : ethnicity of students - > (Group A, B,C, D,E)