Wisconsin Breast Cancer (WBC) Dataset
收藏arXiv2025-09-30 收录
下载链接：
https://archive.ics.uci.edu/ml/datasets/breast+cancer+wisconsin+(original)
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资源简介：
该数据集是一个广为人知的分类问题基准，包含了10个整数值的输入维度以及一个二进制的标签，用以指示样本是“恶性”还是“良性”。此前，该数据集已被用于在XCS中调整超参数。数据集的规模为10个输入维度，任务类型为二分类。此外，该数据集中的特征以整数值表示，反映了数据的不同方面。
This dataset is a well-known benchmark for classification tasks, which contains 10 integer-valued input dimensions and a binary label used to indicate whether a sample is "malignant" or "benign". Previously, this dataset has been employed for hyperparameter tuning in XCS. The dataset has 10 input dimensions and the task type is binary classification. Additionally, the features in this dataset are represented as integer values, reflecting different aspects of the data.
提供机构：
UCI Machine Learning Repository
