Lab №04: Anomaly Detection in User Signups

This experiment explores a heuristic model for identifying potentially fraudulent user signups in real-time. By weighting various risk factors, we can generate a confidence score. The key challenge lies in balancing automated detection with the need for human review to minimize false positives.