地球资源数据云——数据资源详情
数学学生
该数据集《Math Students》主要用于二分类任务，数据形态以表格为主，应用场景偏向医疗健康。 题目说明：Math Scores for each student 任务类型：表格二分类。 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 - mat.csv。 Content This is a dataset from the UCI datasets repository. This dataset contains the final scores of students at the end of a math programs with several features that might or might not impact the future outcome of these students. Citation: Please include this citation if you plan to use this database: P. Cortez and A. Silva. Using Data Mining to Predict Secondary School Student Performance. In A. Brito and J. Teixeira Eds., Proceedings of 5th FUture BUsiness TEChnology Conference (FUBUTEC 2008) pp. 5 - 12, Porto, Portugal, April, 2008, EUROSIS, ISBN 978 - 9077381 - 39 - 7. [Web Link]
摘要概览
该数据集《Math Students》主要用于二分类任务，数据形态以表格为主，应用场景偏向医疗健康。 题目说明：Math Scores for each student
任务类型：表格二分类。
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 - mat.csv。
Content
This is a dataset from the UCI datasets repository. This dataset contains the final scores of students at the end of a math programs with several features that might or might not impact the future outcome of these students.
Citation:
Please include this citation if you plan to use this database:
P. Cortez and A. Silva. Using Data Mining to Predict Secondary School Student Performance. In A. Brito and J. Teixeira Eds., Proceedings of 5th FUture BUsiness TEChnology Conference (FUBUTEC 2008) pp. 5 - 12, Porto, Portugal, April, 2008, EUROSIS, ISBN 978 - 9077381 - 39 - 7. [Web Link]