arXiv Machine Learning By Rafael da Silva, Danilo Alvares

The C-index illusion: discrimination without calibration in published survival models

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arXiv:2607. 19526v1 Announce Type: new Abstract: "Stop Chasing the C-index when Evaluating Survival Analysis Models" (ICML 2026, Spotlight) argued normatively, on synthetic data, that evaluating survival models by discrimination alone, i.

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arXiv Machine Learning
Jul 22

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

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.

By John Zobolas, Raphael Sonabend, Riccardo De Bin, Johannes Piller, Philipp Kopper, Lukas Burk, Andreas Bender