SQLBits 2018

Evaluating Models: Get Ready to ROC

Introducing the ROC curve and its use in Azure ML.

This session introduces the Receiver Operating Characteristics (ROC) curve and explains its strengths and
weaknesses in evaluating models. We will then show the use of ROC curves and performance measures used in Azure Machine Learning Studio.

Speaker

Mark Whitehorn specialises in Data Science. On the commercial side he works as a consultant, on the academic side he is the professor of analytics at the University of Dundee where he teaches a Masters course in Data Science.

Mark Whitehorn's Sessions

Graph databases - What, how and why

Inside the classic machine learning algorithms

Evaluating Models: Get Ready to ROC

Analytics Master Class-exploiting exotic patterns in data

MDX and DAX-compare and contrast