शुरू करेंमुफ़्त में शुरू करें

Residual standard error

Residual standard error (RSE) is a measure of the typical size of the residuals. Equivalently, it's a measure of how badly wrong you can expect predictions to be. Smaller numbers are better, with zero being a perfect fit to the data.

Again, you'll look at the models from the advertising pipeline, mdl_click_vs_impression_orig and mdl_click_vs_impression_trans. broom is loaded.

यह अभ्यास पाठ्यक्रम का हिस्सा है

Introduction to Regression in R

पाठ्यक्रम देखें

इंटरैक्टिव व्यावहारिक अभ्यास

इस अभ्यास को इस नमूना कोड को पूरा करके आज़माएँ।

# Get RSE for mdl_click_vs_impression_orig
mdl_click_vs_impression_orig %>% 
  # Get the model-level details
  ___ %>% 
  # Pull out sigma
  ___

# Do the same for the transformed model
___
कोड संपादित करें और चलाएँ