Lasso मॉडल के परिणाम

# Transform the test set with the pre-fitted scaler
X_test_std = scaler.____

# Calculate the coefficient of determination (R squared) on X_test_std
r_squared = la.____(____, ____)
print(f"The model can predict {r_squared:.1%} of the variance in the test set.")

# Create a list that has True values when coefficients equal 0
zero_coef = la.____ == ____

# Calculate how many features have a zero coefficient
n_ignored = sum(____)
print(f"The model has ignored {n_ignored} out of {len(la.coef_)} features.")