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AI Lund Lunch seminar: ROC Curve Explained - How smart are classifying AI:s?

Illustration. Cute robots and typical graphs showing the quality of machine learning based classifiers.


From: 2022-09-07 12:00 to 13:15
Place: Online - link by registration
Contact: Jonas [dot] Wisbrant [at] cs [dot] lth [dot] se
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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 - link by registration

Spoken language: English


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.


To participate is free of charge, but please sign up at and we will send you a link for access at the zoom-platform.