Student Performance Data Set
收藏www.kaggle.com2020-03-27 更新2025-01-08 收录
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https://www.kaggle.com/larsen0966/student-performance-data-set
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If this Data Set is useful, and upvote is appreciated. This data approach student achievement in secondary education of two Portuguese schools. The data attributes include student grades, demographic, social and school related features) and it was collected by using school reports and questionnaires. Two datasets are provided regarding the performance in two distinct subjects: Mathematics (mat) and Portuguese language (por). In [Cortez and Silva, 2008], the two datasets were modeled under binary/five-level classification and regression tasks. Important note: the target attribute G3 has a strong correlation with attributes G2 and G1. This occurs because G3 is the final year grade (issued at the 3rd period), while G1 and G2 correspond to the 1st and 2nd-period grades. It is more difficult to predict G3 without G2 and G1, but such prediction is much more useful (see paper source for more details).
若此数据集具有实用价值,则予以点赞实为上策。本数据集旨在探究葡萄牙两所中学的中学教育成果。数据属性涵盖学生成绩、人口统计学、社会以及学校相关特征,数据收集主要通过学校报告和问卷调查完成。本数据集提供了两个数据集,分别针对两个不同学科的表现:数学(mat)和葡萄牙语(por)。在Cortez和Silva(2008)的研究中,这两个数据集被用于二元/五级分类和回归任务。重要提示:目标属性G3与属性G2和G1存在强烈的相关性。这是因为G3代表学年最终成绩(在第三学期发布),而G1和G2分别对应第一和第二学期的成绩。在没有G2和G1的情况下预测G3更为困难,但此类预测的实用性极大(详见论文来源以获取更多详情)。
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