Fraud Detection System

Predictive analysis of auto claim irregularities
Risk drivers are generated using a ExtraTrees uncalibrated reference model for consistency and interpretability.
Prediction scores are produced by the selected model above.
Optimized for detecting potentially fraudulent claims. Designed for automated or semi-automated flagging where recall is critical.
01 / Incident & Injury
12:00
Afternoon
02 / Claim Amount
$58,000
Total amount claimed before internal allocation.
Claim Amount Breakdown
Estimated distribution of the total claim amount (percentages are relative and do not need to sum perfectly)
10%
Medical and bodily injury related costs
10%
Vehicle and physical property damage
80%
Remaining claim components (legal, admin, other)
03 / Policy & Tenure
$1,200
200
04 / Vehicle Context
10 yrs
05 / Administrative
06 / Edge Variables
38 yrs
Financial Capital Activity (Optional)
Summary of observed capital inflows and outflows around the incident period.
$0
$0