Summary: The Bias-Variance Trade-Off

In this chapter, we introduced the final details of logistic regression and continued to understand how to use scikit-learn to fit logistic regression models. We gained more visibility into how the model fitting process works by learning about the concept of a cost function, which is minimized by the gradient descent procedure to estimate parameters during model fitting.