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A Unified Framework for Statistical Inference and Study Design of Comparative F <sub>1</sub> and F <sub>β</sub> Scores under Paired Classifier Evaluations

2026-07-17

Abstract excerpt

<h4>Background: </h4> and objective The F 1 score and its generalized F β score are widely used to evaluate machine learning and artificial intelligence (AI) models in healthcare, particularly for imbalanced clinical datasets. In practice, competing prediction models are commonly evaluated on the same patient cohort, resulting in correlated classifier decisions. However, existing approaches for statistical infer...

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Literature Corpus work
1fbab791-5f00-57c0-b191-b07b7c068dae
DOI
10.64898/2026.07.15.26358166
Open publication

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A Unified Framework for Statistical Inference and Study Design of Comparative F <sub>1</sub> and F <sub>β</sub> Scores under Paired Classifier EvaluationsDOI 10.64898/2026.07.15.26358166
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