The aim of this project is to develop a machine learning model that can accurately predict the fuel efficiency of vehicles based on their characteristics, using linear regression.
Dataset source: https://archive.ics.uci.edu/ml/datasets/auto+mpg
The model achieved an R-squared value of 0.819 for the training set and 0.845 for the testing set, indicating that it was able to explain a large amount of the variability in the data. Additionally, the root mean squared error (RMSE) for the training set was 3.370 and for the testing set was 2.888.
In order to run the python script and notebook, you will need to have the following packages installed:
- matplotlib
- numpy
- pandas
- scikit-learn