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cs.LG2026
Explaining a probabilistic prediction on the simplex with Shapley compositions
Paul-Gauthier Noé, Miquel Perelló-Nieto, Jean-François Bonastre +1
Originating in game theory, Shapley values are widely used for explaining a machine learning model's prediction by quantifying the contribution of each feature's value to the predi…
cs.LG2025
Evaluating classification performance across operating contexts: A comparison of decision curve analysis and cost curves
Louise AC Millard, Peter A Flach
Classification models typically predict a score and use a decision threshold to produce a classification. Appropriate model evaluation should carefully consider the context in whic…