Features info about the given dataset
- Name : The brand and model of the car.
- Location : The location in which the car is being sold or is available for purchase.
- Year : The year or edition of the model.
- Kilometers_Driven : The total kilometres driven in the car by the previous owner(s) in KM.
- Fuel_Type : The type of fuel used by the car.
- Transmission : The type of transmission used by the car.
- Owner_Type : Whether the ownership is Firsthand, Second hand or other.
- Mileage : The standard mileage offered by the car company in kmpl or km/kg
- Engine : The displacement volume of the engine in cc.
- Power : The maximum power of the engine in bhp.
- Seats : The number of seats in the car.
- New_Price : The price of a new car of the same model.
- Price : The price of the used car in INR Lakhs
Different Regression Models tested and their respective R2_Score
- Linear Regression : 79.434184
- Polynomial Regression : 84.053604
- Ridge Regression : 79.434184
- Lasso Regression : 79.434642
- Support Vector Regression : 85.800600
- Decision Tree Regression : 81.822322
- Random Forest Regression : 91.216955
Random Forest achieved the highest R2_Score.