elec2

该数据集是一个广泛认可的概念漂移数据流，常被用来展示增量概率密度预测（iPDP）方法的有效性。此外，该数据集还用于适配并解释自适应随机森林模型。在动态学习环境中，这一数据集的任务包括漂移检测和特征影响分析。

This dataset is a widely recognized concept drift data stream, which is commonly used to demonstrate the effectiveness of incremental probability density prediction (iPDP) methods. Furthermore, this dataset is also utilized to adapt and explain adaptive random forest models. In dynamic learning environments, the tasks involving this dataset include drift detection and feature impact analysis.