Complexity, bias and variance

In the video, you saw how the complexity of a model labeled \(\hat{f}\) influences the bias and variance terms of its generalization error.
Which of the following correctly describes the relationship between \(\hat{f}\)'s complexity and \(\hat{f}\)'s bias and variance terms?

This exercise is part of the course

Machine Learning with Tree-Based Models in Python

View Course

Hands-on interactive exercise

Turn theory into action with one of our interactive exercises

Start Exercise