Assessing model performance
To test which approach is best — the whole dataset model or the models for each house age category — you need to calculate some metrics. Here, you'll compare the coefficient of determination and the residual standard error for each model.
Four models of price versus no. of convenience stores (mdl_all_ages, mdl_0_to_15, mdl_15_to_30, and mdl_30_to_45) are available.
Cet exercice fait partie du cours
Intermediate Regression with statsmodels in Python
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# Print the coeff. of determination for mdl_all_ages
print("R-squared for mdl_all_ages: ", ____)
# Print the coeff. of determination for mdl_0_to_15
print("R-squared for mdl_0_to_15: ", ____)
# Print the coeff. of determination for mdl_15_to_30
print("R-squared for mdl_15_to_30: ", ____)
# Print the coeff. of determination for mdl_30_to_45
print("R-squared for mdl_30_to_45: ", ____)