Real-World Benchmark Datasets

该数据集汇总了从UCI存储库中提取的26个真实世界基准数据集，这些数据集通过合成数据生成的方式进行了调整，以引入诸如类分布不平衡和小样本量等特征。这些数据集的规模各异，所涉及的任务主要是二分类问题。

This dataset compiles 26 real-world benchmark datasets sourced from the UCI Repository. These datasets have been adjusted via synthetic data generation to introduce characteristics including class imbalance and small sample sizes. The datasets vary in scale, and the primary tasks involved are binary classification problems.