UCI Machine Learning Repository Classification Datasets

该数据集汇总了50个具有不同特征的分类数据集，这些数据集在大小、维度和属性类型等方面各不相同，它们被用于对比集挖掘。此外，这些数据集涵盖了不同领域，并且具有诸如缺失值存在等各式各样的特点。所涉及的任务是对比集挖掘。

This dataset aggregates 50 classification datasets with distinct characteristics. These datasets vary in size, dimensionality, attribute types, and other relevant aspects, and are utilized for contrast set mining. Furthermore, they span diverse domains and possess a wide range of traits including the presence of missing values. The task associated with this dataset is contrast set mining.