Measure and optimize model performance with ROC and AUC

AI Engineer
Data Scientist

Receiver operator characteristic curves are a powerful way to assess and fine-tune trained classification models. We introduce and explain the utility of these curves through learning content and practical exercises.

Learning objectives

In this module, you will:

  • Understand how to create ROC curves.
  • Explore how to assess and compare models using these curves.
  • Practice fine-tuning a model using characteristics plotted on ROC curves.


Familiarity with machine learning models