Measure and optimize model performance with ROC and AUC
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
Prerequisites
Familiarity with machine learning models