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A Ranking Approach for Measuring Calibration

This story is from 2026-09-14. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.13100v1 Announce Type: cross Abstract: When providing forecasted probabilities with a predictive model, the ideal model offers perfect calibration: the true probability of the outcome (i.e., the probability that $Y=1$) exactly matches the forecasted probability $f(X)$. In practice, model…

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  1. 2026-09-14 04:00 · arXiv stat.ML
    A Ranking Approach for Measuring Calibration

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