Reproducible Machine Learning for Credit Card Fraud Detection — Practical Handbook¶
Le Borgne, Y., Siblini, W., Lebichot, B., & Bontempi, G. (2022). Reproducible Machine Learning for Credit Card Fraud Detection — Practical Handbook.
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Primes¶
- Salience
- The fraud pipeline maps cleanly: candidates are transactions, the feature space is amount, velocity, geolocation, and merchant category,
This sourceDocuments fraud-detection feature engineering (transaction amount, time/velocity, geolocation, merchant category) and the concept-drift failure in which a model's baseline adapts so fraudulent activity stops being locally anomalous.
- The fraud pipeline maps cleanly: candidates are transactions, the feature space is amount, velocity, geolocation, and merchant category,
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