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.
Este ejercicio forma parte del curso
Practicing Statistics Interview Questions in Python
Ejercicio interactivo práctico
Prueba este ejercicio completando el código de muestra.
# R-squared score
r2 = ____
print(____)