Exercise

# Lasso model results

Now that you've trained the Lasso model, you'll score its predictive capacity (\(R^2\)) on the test set and count how many features are ignored because their coefficient is reduced to zero.

The `X_test`

and `y_test`

datasets have been pre-loaded for you.

The `Lasso()`

model and `StandardScaler()`

have been instantiated as `la`

and `scaler`

respectively and both were fitted to the training data.

Instructions

**100 XP**

- Transform the test set with the pre-fitted scaler.
- Calculate the \(R^2\) value on the scaled test data.
- Create a list that has True values when coefficients equal 0.
- Calculate the total number of features with a coefficient of 0.