The ROC Curve ( Receiver Operating Characteristic Curve) Topic 84 of Machine Learning Foundations

, MLFoundations, Calculus, MachineLearning In this video, we work through a simple example with real numbers to demonstrate how to calculate the ReceiverOperating Characteristic Curve (the ROC Curve), an enormously useful metric for quantifying the performance of a binary classification model. There are eight subjects covered comprehensively in the ML Foundations series and this video is from the fourth subject, Calculus II: Partial Derivatives Integrals. More detail about the series and all of the associated opensource code is available at The playlist for the Calculus subjects is here: Jon Krohn is Chief Data Scientist at the machine learning company Nebula. He authored the book Deep Learning Illustrated, an instant, 1 bestseller that was translated into seven languages. He is also the host of SuperDataScience, the industrys most listenedto podcast. Jon is renowned for his compelling lectures, whic