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.
この演習はコースの一部です
Intermediate Regression with statsmodels in Python
実践的なインタラクティブ演習
このサンプルコードを完成させて、この演習に挑戦してみましょう。
# 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: ", ____)