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Anomaly Detection Algorithms Performance

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IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/anomaly-detection-algorithms-performance
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The dataset contains performance values, Area Under the ROC Curve (AUC) and Average Precision (AP), of popular anomaly detection (AD) algorithms taken over a set of 9k AD benchmark datasets.Datasets were initially published with the following paper:Kandanaarachchi, S., Muñoz, M. A., Hyndman, R. J., & Smith-Miles, K. (2020). On normalization and algorithm selection for unsupervised outlier detection. Data Mining and Knowledge Discovery, 34(2), 309-354.Python PyOD package has been used to perform the evaluation of the algorithms. 
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