Project 2

In this project, you will modeling and predicting walkability index data.

1. Download the data files and set up your coding environment
2. You will find a dictionary file with the data, which provides variable descriptions
3. The target is the NatWalkInd variable – this is a continuous numeric variable
4. Your model performance metrics should match the type of model you are fitting to the data
5. Gradescope is going to run two metrics: mean square error, and r-squared score – to get full points for this assignment, your predictions should have a mean square error lower than 1 and your r-squared score should be higher than 50%
6. Submit your predictions on the test.csv data as a my_predictions.csv file to gradescope – make sure you have a column named prediction in your file

Link to Gradescope assignment