WDBC

该数据集是一个经典的二分类数据集，常用于乳腺癌诊断。每个样本包含30个维度，并且已经对各种分类模型进行了评估。该数据集规模总计569个样本，其中随机抽取了86个数据点用于分析，任务是对样本进行二分类。

This is a classic binary classification dataset commonly used for breast cancer diagnosis. Each sample contains 30 dimensions, and it has been evaluated against various classification models. The total number of samples in this dataset is 569, out of which 86 data points are randomly sampled for analysis, with the task of performing binary classification on the samples.