Synthetic Dataset for Regression and Classification

该数据集包含了基于特定数据生成过程为回归和分类任务生成的数据。它包括用于分类的二进制标签，并使用了带有附加噪声的正态分布来生成。该数据集的规模为：5000个数据点用于训练和测试，1250个数据点用于验证。任务的类型包括回归和分类。

This dataset contains data generated for regression and classification tasks based on a specific data generation process. Binary labels are provided for classification tasks, and the data is generated using a normal distribution with added noise. The dataset is partitioned as follows: 5000 data points are allocated for training and testing, while 1250 data points are reserved for validation. The supported task types cover both regression and classification.