Regression evaluation
Let's revisit the linear regression model that you created with LinearRegression() and then trained with the fit() function a few exercises ago. Evaluate the performance your model, imported here as lm for you to call.
The weather data has been imported for you with the X and y variables as well, just like before. Let's get to calculating the R-squared, mean squared error, and mean absolute error values for the model.
Cet exercice fait partie du cours
Practicing Statistics Interview Questions in Python
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# R-squared score
r2 = ____
print(____)