openml_607

该数据集被用于评估方法在噪声或高维环境下的鲁棒性，尤其值得关注的是，其包含的无关特征可能会影响性能。它是更大规模数据集集合中的一部分，该集合共有六个数据集，用于各种实验。该数据集的规模较大，既适用于分类任务，也适用于回归任务。This dataset is designed to evaluate the robustness of methods under noisy or high-dimensional environments. Particularly noteworthy is that the irrelevant features contained within it may degrade the performance of the assessed methods. It constitutes a component of a larger dataset collection that totals six datasets, which is utilized for various experiments. With a substantial scale, this dataset supports both classification and regression tasks.