Measure and optimize model performance with ROC and AUC

Module
7 Units

Beginner

AI Engineer

Data Scientist

Student

Azure

Receiver operator characteristic (ROC) 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

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Introduction min
Analyze classification with receiver operator characteristic curves min
Exercise - Evaluate ROC curves min
Compare and optimize ROC curves min
Exercise - Tune the area under the curve min
Module Assessment min
Summary min