Student Performance dataset

该数据集经过调整，专为二分类预测任务设计，旨在分析隐私增强技术对机器学习模型在能耗和准确度方面的影响。为了便于进行二分类，并扩展研究结论至不同的数据结构，该数据集在原有结构基础上进行了修改。所涉及的任务类型为分类。

This dataset has been adjusted and purpose-built for binary classification prediction tasks, aiming to analyze the impact of privacy-enhancing technologies on the energy consumption and accuracy of machine learning models. To facilitate binary classification and extend the applicability of research conclusions to diverse data structures, this dataset has been modified based on its original structure. The task type involved is classification.