I developed a Synthetic Fraud
I developed a Synthetic Fraud & Anomaly Detection Dataset.
1,000,000 synthetic transactions (10 CSV files, chronologically contiguous)
120,000 synthetic customers, with each customer's "home" profile (usual zone, merchant category, and device) alongside their observed behavior.
Data dictionary covering both tables
Fraud-pattern generation methodology, with validated baseline model results
Baseline modeling tasks and a recommended train/validation/test split.
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I developed a Synthetic Fraud & Anomaly Detection Dataset. 1,000,000 synthetic transactions (10 CSV files, chronologically contiguous) 120,000 synthetic cus...
