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.
Bu egzersiz
Practicing Statistics Interview Questions in Python
kursunun bir parçasıdırUygulamalı interaktif egzersiz
Bu örnek kodu tamamlayarak bu egzersizi bitirin.
# R-squared score
r2 = ____
print(____)