A Quick Guide to AUC-ROC in Machine Learning Models

A simple and robust method to compare the effectiveness of classification models should not be made complicated by too many different definitions.

One of the most common applications of Machine Learning is to classify entities into two distinct, non-overlapping categories. Over the years, several methods have been devised, ranging from very simple to more complex to almost a black-box. One common question that comes up when dealing with almost any…