In this section you're going to learn about Classification. You'll get introduced to Binary Classification models that can produce binary yes/no or true/false predictions by Thresholding a regression value. 

Then you will study how to evaluate classifiers and learn a number of special classification metrics, including the True Positive and False Negative rates, the Accuracy, Precision, and Recall.

Finally, you'll learn about two special evaluation metrics that are invariant to any threshold value: the ROC curve, and the AUC metric.