python sklearn multiple linear regression display r-squared

Question

I calculated my multiple linear regression equation and I want to see the adjusted R-squared. I know that the score function allows me to see r-squared, but it is not adjusted.<

Answer 1

regressor = LinearRegression(fit_intercept=False)
regressor.fit(x_train, y_train)
print(f'r_sqr value: {regressor.score(x_train, y_train)}')