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regression object: model = LinearRegression() model.fit(X_train_poly, y_train) y_pred = model.predict(X_test_poly) mse = mean_squared_error(y_test, y_pred) print('MSE:', mse) Please Follow coursesteach to see latest updates on this story If you want to learn more about these topics: Python, Machine