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Scenario: A compliance team is concerned about fraud detection accuracy as well as the key drivers that cause fraudulence in the automotive industry.
Download data: Insurance Fraud Data
| Worksheet column | Description |
|---|---|
| claim_number | The claim identifier |
| age_of_driver | Age of the driver |
| gender | Gender of the driver: M or F |
| marital_status | Marriage status of the driver: 0 or 1 |
| safety_rating | Safety rating: 2 - 100 |
| annual_income | Annual income of the driver |
| high_education | Education status of the driver: 0 or 1 |
| address_change | Address change status of the driver: 0 or 1 |
| property_status | Does the driver own or rent |
| zip_code | ZIP code |
| claim_date | The date the claim was made |
| claim_day_of_week | The day of the week the claim was made |
| accident_site | The location of the accident: highway, local, parking lot |
| past_num_of_claims | Total number of previous claims |
| witness_present | Was a witness present: 0 or 1 |
| liab_prct | The liability percentage: 0 - 100 |
| channel | How claim was initiated: broker, phone, online |
| police_report | Was a police report filed: 0 or 1 |
| age_of_vehicle | Age, in years, of the vehicle: 0 -14 |
| vehicle_category | The type of vehicle: compact, large, medium |
| vehicle_price | The price of the vehicle |
| vehicle_color | The color of the vehicle |
| total_claim | Total claim amount in dollars |
| injury_claim | Injury claim amount in dollars |
| policy deductible | The amount in dollars of the policy deductible |
| annual premium | The annual policy premium |
| days open | Number of days claim is open |
| form defects | Number of errors on form: 0 to 13 |
| fraud reported | Whether fraud was reported: Y or N |
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