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UID:246@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20241121T140000
DTEND;TZID=Europe/Paris:20241121T140000
DTSTAMP:20260825T134549Z
URL:https://isdm.umontpellier.fr/events/evaluating-probabilistic-classifie
 rs-the-triptych/
SUMMARY:Evaluating Probabilistic Classifiers: The triptych
DESCRIPTION:Online\n\nMachine Learning in Montpellier\, Theory &amp\; Pract
 ice\n\nI will mainly present the paper &quot\;Evaluating Probabilistic Cla
 ssifiers: The Triptych&quot\; [ https://isdm.umontpellier.fr/doi.org/10.10
 16/j.ijforecast.2023.09.007 | https://isdm.umontpellier.fr/doi.org/10.1016
 /j.ijforecast.2023.09.007 ] that provides a trinity of evaluating plots fo
 r probability forecasts for binary events: Reliability diagrams\, ROC curv
 es and Murphy diagrams\, which focus on the individual aspects of calibrat
 ion\, discrimination and overall predictive performance\, respectively. Su
 mmary statistics for these properties are given by an associated score dec
 omposition. I will furthermore present extensions of the underlying ideas 
 such as statistical inference methods and extensions to point (e.g.\, mean
  or quantile) forecasts.\n\nMachine Learning in Montpellier\, Theory &amp\
 ; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
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TZID:Europe/Paris
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DTSTART:20241027T020000
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