地球资源数据云——数据资源详情
学生考试成绩数据集
该数据集《Student Exam Scores dataset》主要用于多分类任务，数据形态以表格为主。 题目说明：A synthetic dataset of 200 students with study habits, attendance, performance 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：student_exam_scores.csv。 This dataset contains information about 200 students and their academic performance based on various study - related factors. It is a synthetic dataset designed for educational analytics, machine learning, and data science practice. The dataset explores how study habits, sleep patterns, attendance, and past academic performance influence a student’s final exam score. It is useful for tasks such as: Regression (predicting exam scores) Correlation analysis (relationship between study hours and performance
摘要概览
该数据集《Student Exam Scores dataset》主要用于多分类任务，数据形态以表格为主。 题目说明：A synthetic dataset of 200 students with study habits, attendance, performance
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：student_exam_scores.csv。
This dataset contains information about 200 students and their academic performance based on various study - related factors. It is a synthetic dataset designed for educational analytics, machine learning, and data science practice.
The dataset explores how study habits, sleep patterns, attendance, and past academic performance influence a student’s final exam score.
It is useful for tasks such as:
Regression (predicting exam scores)
Correlation analysis (relationship between study hours and performance
常见问题
学生考试成绩数据集是什么？
该数据集《Student Exam Scores dataset》主要用于多分类任务，数据形态以表格为主。
学生考试成绩数据集是什么数据格式？坐标系是什么？
数据格式为 CSV。
学生考试成绩数据集是如何生产或处理的？
题目说明：A synthetic dataset of 200 students with study habits, attendance, performance 任务类型：表格多分类。
如何获取并引用学生考试成绩数据集？
在本页登录后即可下载。建议引用格式：地球资源数据云. 学生考试成绩数据集. https://www.gis5g.com/dataset/2032012827131547649