Insurance Claims Fraud Detection Model 🇺🇸
Overview
This model detects potential fraudulent insurance claims based on rule-based heuristics aligned with US insurance fraud patterns.
Features
- Claim amount analysis
- Claim frequency tracking
- Policy age validation
- Location mismatch detection
- Time-based anomaly detection
Input Example
{
"claim_amount": 15000,
"claims_last_year": 4,
"policy_age_days": 10,
"location_mismatch": true,
"incident_hour": 2
}
Output
{
"fraud_probability": 0.85,
"fraud_label": "FRAUD"
}
