# Credit Card Fraud Detection - Dealing with Imbalanced Datasets in Machine Learning

Video title names a repeated moderation safety judgment: Credit Card Fraud Detection - Dealing with Imbalanced Datasets in Machine Learning

Grade: C — A clean typed decision with low volume or low value, or too vague to act on.. Score: 1.76.

Vertical: Finance & insurance.

Function: Agents & dev.

Status: Seen in the wild.

Volume: occasional.

Value: minor.

Risk: moderate.

Evidence: described plan.

Flags: None.

- [Source](https://www.youtube.com/watch?v=M_Cu7r9gik4)
- [Vertical](/verticals/finance_insurance/)
- [Function](/functions/agents_dev/)
- [Jev System One AI model for instant decisions](/use-cases/jev-system-one-ai-model-for-instant-decisions/)
- [IP address geolocation fraud](/use-cases/ip-address-geolocation-fraud/)
- [Weekly account pass: is an anomaly worth a look](/use-cases/weekly-account-pass-is-an-anomaly-worth-a-look/)
- [Fraud detection with Jev and Kimi K3](/use-cases/fraud-detection-with-jev-and-kimi-k3/)
- [40,000 wallets screened in four seconds](/use-cases/40-000-wallets-screened-in-four-seconds/)
- [Fraud Detection with AI: Ensemble of AI Models Improve Precision & Speed](/use-cases/fraud-detection-with-ai-ensemble-of-ai-models-improve-precision-speed/)