A dataset consists of data describing used cars. The task is predicting the price of the car described by 14 metrics, which are as follows:
| Column Name | Description |
|---|---|
| seller | private or dealer |
| offer_type | type of offer |
| abtest | a/b testing |
| vehicle_type | vehicle type |
| year_of_registration | at which year the car was first registered |
| gearbox | type of gearbox |
| power | power of the car in PS |
| model | model of the car |
| kilometer | how many kilometers the car has driven |
| month_of_registration | at which month the car was first registered |
| fuel_type | type of fuel used by the car |
| brand | manufacturer of the car |
| not_repaired_damage | if the car has a damage which is not repaired yet |
| postal_code | location details |
| price | the price to sell the car |