A compliance team is concerned about fraud detection accuracy as well as the key drivers that cause fraudulence in the automotive industry.
You can use this data to demonstrate how to use the utilities in the Minitab Solution Center.
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 |