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Model Type Manufacture Year Ownership Type Auto Insurance Type Additional Insurance Years Customer Months Employed Gender Marital Status Age # of Additional Vehicle # of

Model Type Manufacture Year Ownership Type Auto Insurance Type Additional Insurance Years Customer Months Employed Gender Marital Status Age # of Additional Vehicle # of Traffic Offences Employment Type Premium Type
Pickup 2004 Lease Personal Injury Motorcycle 5 33 M Divorced 69 1 1 Unemployed
Crossover 2010 Owner Comprehensive Coverage Business 7 71 F Divorced 56 3 0 Management
SUV 2019 Lease Liability Coverage Boat 20 139 F Divorced 21 1 1 Management
Sedan 2016 Lease Medical Coverage Landlord 2 44 F Married 55 2 5 Management
Pickup 2012 Owner Comprehensive Coverage Flood 13 43 M Married 43 5 3 Unemployed
Pickup 2020 Lease Collision Coverage Motorcycle 2 107 M Single 72 3 3 Skilled
Sedan 2016 Owner Uninsured Boat 6 79 F Married 20 5 3 Skilled
Wagon 2006 Owner Collision Coverage Condo 20 49 F Single 48 3 0 Skilled
Wagon 2018 Owner Uninsured Boat 12 120 F Married 34 0 3 Management
Wagon 2016 Lease Liability Coverage Business 1 85 M Married 52 4 4 Unemployed
Pickup 2017 Lease Medical Coverage Motorcycle 12 117 M Divorced 40 2 0 Skilled
Minivan 2015 Owner Collision Coverage Condo 3 134 F Divorced 16 4 0 Unemployed
Sedan 2019 Lease Comprehensive Coverage Flood 9 131 M Married 19 1 1 Management
SUV 2015 Lease Medical Coverage Landlord 19 60 F Divorced 54 2 5 Unemployed
Pickup 2011 Owner Medical Coverage Flood 19 115 M Married 17 2 1 Skilled

Build a decision tree model consisting of three independent variables.

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