Real-world tabular datasets

该数据集包含了47个来自不同领域的真实表格数据集，这些领域包括医疗保健、图像处理和金融等，用于评估无监督异常检测方法。此外，这些数据集被用来将所提出的方法与12种基线方法进行比较，并在无监督异常检测的设置下进行评估。整个数据集的规模达到了47个，所涉及的任务是无监督异常检测。

This dataset comprises 47 real tabular datasets spanning diverse domains such as healthcare, image processing, and finance, which are used to evaluate unsupervised anomaly detection methods. Furthermore, these datasets are employed to compare the proposed method against twelve baseline methods, with all evaluations conducted under the unsupervised anomaly detection setting. With a total of 47 datasets, this resource focuses on the task of unsupervised anomaly detection.