Anomaly detection · 02
Transaction Fraud Detection
A classification study focused on the challenges of rare-event detection, cost-sensitive evaluation, resampling, and practical fraud alerts.
PythonXGBoostImbalanced-learnMatplotlib
Overview
Designed for a simple, confident user experience.
A fraud-risk model designed for highly imbalanced transaction data with probability thresholds and precision-recall evaluation.
- Imbalanced-data strategy
- Anomaly pattern analysis
- Precision-recall optimisation
- Risk scoring dashboard