Polynomial Binary Classifier Dataset

该数据集是通过使用不同阶数的多项式二分类器生成的，其中点根据它们相对于多项式函数的位置被分配标签。此外，该数据集能够检验混合专家模型与贝叶斯模型在不同VC维度下的性能表现。数据集的规模是根据多项式阶数相关的VC维度来确定的，其任务是进行二分类。

This dataset is generated using polynomial binary classifiers with varying orders, where data points are assigned labels based on their positions relative to the corresponding polynomial function. Furthermore, this dataset facilitates the evaluation of performance for Mixture of Experts (MoE) models and Bayesian models across different VC dimensions. The dataset size is determined by the VC dimension associated with the polynomial order, and its core task is binary classification.