Student grade prediction dataset

The dataset provides a collection of 160 instances belonging to two classes (`pass' = 136 and `fail' = 24). The data is an anonymised, statistically sound and reliable representation of the original data collected from students studying computer science modules at a UK University. Each instance is made up of 19 features plus the class label. Eight of the features represent students' online behaviour including bio information retrieved from Virtual Learning Environment. Eleven of the features represent students' neighbourhood influence retrieved from Office for Students database. The data has been compiled and made available in de-facto/de-jure standard open formats (CSV and JSON).

This data was collected and used in a research study undertaken by academics and researchers at Computer Science Department, Edge Hill University, United Kingdom. To encourage reproducibility of the experiments and results reported, the data is provided in the exact training-validation-testing splits used in the experiments.

本数据集汇集了160个实例，分为两类（通过：136个，未通过：24个）。该数据集是对来自英国某大学计算机科学模块学习学生的原始数据的匿名、统计上稳健且可靠的再现。每个实例由19个特征和类别标签组成。其中8个特征代表学生的在线行为，包括从虚拟学习环境中获取的生物信息。另外11个特征代表学生所处社区的影响，来源于学生办公室数据库。数据已被汇编并以事实上的/法律上的标准开放格式（CSV和JSON）提供。此数据集由英国Edge Hill大学计算机科学系的学者和研究人员在开展的研究项目中收集和使用。为了促进实验和报告结果的再现性，数据集提供了与实验中使用的确切训练-验证-测试划分。