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Datasets/BAF

BAF

Bank Account Fraud

TabularApache-2.0 licenseIntroduced 2022-11-24

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 Evaluation

Related Benchmarks

BAF – Base/Active Speaker Detection/Recall @ 1% FPRBAF – Base/Active Speaker Detection/Recall @ 5% FPRBAF – Base/Fairness/Predictive Equality (age)BAF – Base/Fraud Detection/Recall @ 1% FPRBAF – Base/Fraud Detection/Recall @ 5% FPRBAF – Variant I/Active Speaker Detection/Recall @ 5% FPRBAF – Variant I/Fairness/Predictive Equality (age)BAF – Variant I/Fraud Detection/Recall @ 5% FPRBAF – Variant II/Active Speaker Detection/Recall @ 5% FPRBAF – Variant II/Fairness/Predictive Equality (age)BAF – Variant II/Fraud Detection/Recall @ 5% FPRBAF – Variant III/Active Speaker Detection/Recall @ 5% FPRBAF – Variant III/Fairness/Predictive Equality (age)BAF – Variant III/Fraud Detection/Recall @ 5% FPRBAF – Variant IV/Active Speaker Detection/Recall @ 5% FPRBAF – Variant IV/Fairness/Predictive Equality (age)BAF – Variant IV/Fraud Detection/Recall @ 5% FPRBAF – Variant V/Active Speaker Detection/Recall @ 5% FPRBAF – Variant V/Fairness/Predictive Equality (age)BAF – Variant V/Fraud Detection/Recall @ 5% FPR

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FairnessFraud Detection