3 papers
cs.LG2025
A comprehensive review of classifier probability calibration metrics
Richard Oliver Lane
Probabilities or confidence values produced by artificial intelligence (AI) and machine learning (ML) models often do not reflect their true accuracy, with some models being under…
cs.LG2025
An Entropic Metric for Measuring Calibration of Machine Learning Models
Daniel James Sumler, Lee Devlin, Simon Maskell +1
Understanding the confidence with which a machine learning model classifies an input datum is an important, and perhaps under-investigated, concept. In this paper, we propose a new…
cs.CY2025
Behavioural Analytics: Mathematics of the Mind
Richard Lane, Hannah State-Davey, Claire Taylor +3
Behavioural analytics provides insights into individual and crowd behaviour, enabling analysis of what previously happened and predictions for how people may be likely to act in th…