Exercise

# Evaluate model performance

Now that you have both the **actual** and **predicted** values of each fold you can compare them to measure performance.

For this regression model, you will measure the **Mean Absolute Error (MAE)** between these two vectors. This value tells you the average difference between the **actual** and **predicted** values.

Instructions

**100 XP**

- Calculate the MAE by comparing the actual with the predicted values for the validate data and assign it to the
`validate_mae`

column. - Print the
`validate_mae`

column (note how they vary). - Calculate the mean of this column.