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y_train) Step 5: Evaluate the model Calculate the model’s R-squared score, which represents the proportion of the variance in the dependent variable that is predictable from the independent variables: r_squared = model.score(X_test, y_test) print(f'R-squared: {r_squared:.2f}') You can also make