# Summary: The Bias-Variance Trade-Off

Here’s a look at a summary of the chapter.

## We'll cover the following

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.

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