arXiv Machine Learning July 22, 2026 By John Zobolas, Raphael Sonabend, Riccardo De Bin, Johannes Piller, Philipp Kopper, Lukas Burk, Andreas Bender

When Are Scoring Rules Proper? Bridging Theory and Practice in Survival Model Evaluation

Read the original on arXiv Machine Learning →

arXiv:2212. 05260v4 Announce Type: replace-cross Abstract: Proper scoring rules encourage probabilistic predictions that match the true underlying distribution and are central to model evaluation, with increasing relevance in automated workflows such as AutoML.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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