Linear, Regression, Python, Summary.
performance of our linear regression model using metrics such as mean squared error or R-squared. from sklearn.metrics import mean_squared_error, r2_score # Calculate mean squared error mse = mean_squared_error(y_test, y_pred) print('Mean Squared Error:', mse) # Calculate R-squared r2 =