Summary: The Bias-Variance Trade-Off
Here’s a look at a summary of the chapter.
We'll cover the following...
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.
