/bank-fraud-detection

The Bank Fraud (BAF) dataset suite, introduced at NeurIPS 2022, comprises 6 synthetic datasets for bank fraud detection. It's designed to be a comprehensive, realistic test bed with over 32 attributes. Our goal is to leverage this data to visualize trends and develop a machine learning model to predict bank fraud transactions.

Primary LanguageJupyter Notebook

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