Cluster 0 Datasets

该数据集包含了复杂度更高的数据集，这些数据集生成的模型更为复杂，并且具有不同的解释方式。对于这个数据集簇的基准执行情况显示，在大多数测试中，不同可解释性度量之间的相关性较低或可忽略不计。该数据集规模为21个数据集，其任务是对机器学习模型的解释性进行排名。

This dataset cluster encompasses multiple high-complexity datasets, where the models derived from these datasets are more sophisticated and support diverse explanation methods. Benchmark tests conducted on this dataset cluster reveal that in most test cases, the correlations between distinct interpretability metrics are either low or negligible. Consisting of 21 datasets in total, this cluster is designed for the task of ranking the interpretability of machine learning models.