BAF (Bank Account Fraud)
Introduced by Jesus et al. in Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation
Bank Account Fraud (BAF) is a large-scale, realistic suite of tabular datasets. The suite was generated by applying state-of-the-art tabular data generation techniques on an anonymized, real-world bank account opening fraud detection dataset.
Source: Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML EvaluationPapers
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