Machine Learning Seminar presentation

Topic: Conformal Prediction – Machine Learning with Accuracy Guarantees

Speaker: Marharyta Aleksandrova, Faculty of Science, Technology and Medicine; University of Luxembourg

Time: Wednesday, 2021.09.22, 10:00 CET

How to join: Please contact Jakub Lengiewicz

Abstract:

The property of conformal predictors to guarantee the required accuracy rate, for example, 95%, makes this framework attractive in various practical applications. This property is achieved at a price of reduction in precision. In the case of conformal classification, the systems can output multiple class labels instead of one, in the case of classification – a numerical interval instead of one value. In this talk, we’ll discuss the theory behind conformal prediction and how the choice of a nonconformity function can influence the efficiency (how small the prediction set is) of the resulting classifier.

Additional material:

https://colab.research.google.com/drive/1c_vFcMWcx5GIb7bQG71FnHKqyscj9–6?usp=sharing