On misconceptions about the Brier score in binary prediction models

The Brier score is a widely used metric evaluating overall performance of probabilistic predictions for binary outcomes in clinical research. However, its interpretation can be complex, as it does not align with commonly taught concepts in medical statistics. Consequently, the Brier score is often misinterpreted, sometimes to a significant extent, a fact that has not been adequately addressed in the literature. We aim to explore prevalent misconceptions surrounding the Brier score and elucidate the understanding and interpretation of Brier scores for practitioners.

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Publication Details

Journal
ArXiv.org
Published
2025-04-07
Primary Topic
Advanced Causal Inference Techniques
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article
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article

On misconceptions about the Brier score in binary prediction models

ArXiv.org
Advanced Causal Inference Techniques
article

On misconceptions about the Brier score in binary prediction models

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Abstract

The Brier score is a widely used metric evaluating overall performance of probabilistic predictions for binary outcomes in clinical research. However, its interpretation can be complex, as it does not align with commonly taught concepts in medical statistics. Consequently, the Brier score is often misinterpreted, sometimes to a significant extent, a fact that has not been adequately addressed in the literature. We aim to explore prevalent misconceptions surrounding the Brier score and elucidate the understanding and interpretation of Brier scores for practitioners.

ArXiv.org
University Hospital of Basel (CH), Swiss HIV Cohort Study (CH)
Quality Education
Openalex Percentile: Top 46%
Advanced Causal Inference Techniques
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On misconceptions about the Brier score in binary prediction models · ArXiv.org (2025) | TGRS Research Map | TGRS