no code implementations • 20 Dec 2021 • Telmo Silva Filho, Hao Song, Miquel Perello-Nieto, Raul Santos-Rodriguez, Meelis Kull, Peter Flach
This paper provides both an introduction to and a detailed overview of the principles and practice of classifier calibration.
1 code implementation • NeurIPS 2019 • Meelis Kull, Miquel Perello Nieto, Markus Kängsepp, Telmo Silva Filho, Hao Song, Peter Flach
Class probabilities predicted by most multiclass classifiers are uncalibrated, often tending towards over-confidence.
3 code implementations • 28 Oct 2019 • Meelis Kull, Miquel Perello-Nieto, Markus Kängsepp, Telmo Silva Filho, Hao Song, Peter Flach
Class probabilities predicted by most multiclass classifiers are uncalibrated, often tending towards over-confidence.
1 code implementation • 10 Mar 2019 • Yu Chen, Telmo Silva Filho, Ricardo B. C. Prudêncio, Tom Diethe, Peter Flach
Item Response Theory (IRT) aims to assess latent abilities of respondents based on the correctness of their answers in aptitude test items with different difficulty levels.