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