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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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