地球资源数据云——数据资源详情
学生考试表现
该数据集《Students Performance in Exams》主要用于监督学习任务，数据形态以文本为主，应用场景偏向文本内容分析。 题目说明：Marks secured by the students in various subjects 任务类型：文本监督学习。 建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。 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：exams.csv。 This data set consists of the marks secured by the students in various subjects. Example Research Questions: How effective is the test preparation course? Which major factors contribute to test outcomes? What would be the best way to improve student scores on each test?
摘要概览
该数据集《Students Performance in Exams》主要用于监督学习任务，数据形态以文本为主，应用场景偏向文本内容分析。 题目说明：Marks secured by the students in various subjects
任务类型：文本监督学习。
建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。
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：exams.csv。
This data set consists of the marks secured by the students in various subjects.
Example Research Questions:
How effective is the test preparation course?
Which major factors contribute to test outcomes?
What would be the best way to improve student scores on each test?