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On misconceptions about the Brier score in binary prediction models (2504.04906v3)
Published 7 Apr 2025 in stat.AP
Abstract: The Brier score is a widely used metric evaluating overall performance of predictions for binary outcome probabilities 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. This commentary aims to explore prevalent misconceptions surrounding the Brier score and elucidate the reasons these interpretations are incorrect.
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