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.