Empirical Distribution for Training Samples

该数据集包含了用于说明在分布鲁棒支持向量机问题中计算纳什均衡的训练样本，这些样本以特征向量和标签的对的形式呈现。此外，该数据集是从J个训练样本生成的，用于在问题背景下展示对抗性质。数据规模方面，训练样本表示为(X, Y)对，其中Y的取值为{-1, +1}，任务则是进行分布鲁棒优化。

This dataset comprises training samples used to illustrate the computation of Nash equilibrium in distributionally robust support vector machine problems. These samples are formatted as pairs of feature vectors and corresponding labels. Moreover, this dataset is generated from J training samples to showcase adversarial properties within the problem's context. Regarding the data representation, the training samples are denoted as (X, Y) pairs, where Y takes values in {-1, +1}, and the task is distributionally robust optimization.