Vehicle Claims
· 논문 2편
The code to create the dataset is available here.
The dataset used in the paper is available on github
- Maker - *Categorical* - The brand of the vehicle.
- GenModel - *Categorical* - The model of the vehicle.
- Color - *Categorical* - Colour of the vehicle.
- Reg_Year - *Categorical* - Year of Registration.
- Body_Type - *Categorical* - Eg. SUV, Convertible.
- Runned_Miles - *Numerical* - Distance covered by the vehicle.
- Engin_Size - *Categorical* - Size of engine.
- GearBox - *Categorical* - Automatic, Manual.
- FuelType - *Categorical* - Petrol, Diesel.
- Price - *Numerical* - Price of vehicle.
- Seat_num - *Numerical* - Number of seats.
- Door_num - *Numerical* - Number of Doors.
- issue - *Categorical* - Type of damage.
- issue_id - *Categorical* - Specific damage.
- repair_complexity - *Categorical* - Difficulty to repair the vehicle.
- repair_hours - *Numerical* - Time required to finish the job.
- repair_cost - *Numerical* - Cost of repair.
Other attributes are not used for evaluation in this work.
breakdown_date and repair_date were added with the idea of inserting anomalies based on the number of days required to repair the vehicle.