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assure-claim-fraud-detection
dbisht6/assure-claim-fraud-detection
assure-claim-fraud-detection is a machine learning model from dbisht6. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model detects potential fraudulent insurance claims based on rule-based heuristics aligned with US insurance fraud patterns.
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At a glance
- Model type
- custom-fraud-detector
- Access
- Public
- Created
- Mar 17, 2026
- Updated
- Mar 17, 2026
- SHA
- 8f1dc25c
Model card
From the Hugging Face model README
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" }
- Type
- custom-fraud-detector
- Created
- Mar 17, 2026
- Updated
- Mar 17, 2026