Yesterday I learnt about ROC curves. There’s an extension to this concept: the Area Under each Curve (AUC). If you have two different ROC curves from different models, finding the area under each curve will reveal which model performs better. Here’s an extract from the StatQuest book that illustrates this concept well.
In the coming days, I’ll move onto the chapter about Regularization — a technique that helps prevent overfitting.