A linear regression model is trained to predict fuel average (km/litter), inputs: Vehicle fuel avg, passenger count, Traffic type, Signals per km, road type.
mymodel.pkl contain trained model which was able to predict with 59% accuracy, if acceptable absolute difference is of 3 units.
Model is trained with data_set created in CreatingData.py, the data is not real_world data but tries to resembles real world scenario.