Exercise

Computing the MSE & RMSE of a model

Just as you did earlier with \(R^2\), which is a measure of model fit, let's now compute the root mean square error (RMSE) of our models, which is a commonly used measure of preditive error. Let's use the model of price as a function of size and number of bedrooms.

The model is available in your workspace as model_price_2.

Instructions 1/2

XP

1
2

Let's start by computing the mean squared error (mse), which is the mean of the squared residual.

Take Hint (-15 XP)