Introduction to Statistical Learning

Question 1

Explain the difference between reducible and irreducible error

Answer 1

Reducible error: the error in the function f you are trying to find in your model.
Irreducible error: error due to variance not measured in your features, meaning that you could have a perfect function (given your features) but still have error when trying to predict the output.