ROC Curve Explained - How smart are classifying AI:s?
Recording from AI Lund lunch seminar 9 September 2022
Topic: ROC Curve Explained - How smart are classifying AI:s?
Speaker: Kalle Åström, Professor, Mathematical Imaging Group, Lund University - Coordinator AI Lund
When: 7 September at 12.00-13.15
Where: Online
Spoken language: English
Abstract
One of the many driving forces behind the ongoing AI hype was when ML-based classification systems began to perform better than humans in certain areas. For example, to recognize unique human individuals in photos. Graphically, this can be illustrated with so-called ROC curves.
The ROC curve can be used to show how smart an AI system is when working with binary either-or problems. During the seminar, Kalle Åström tells how the ROC curve works and what is required for it to be reliable. He then discusses how to evaluate classifiers that work with more than two categories.