The Contingency, Confusion and the Metrics of Binary Classification Larner, A. J. creator author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text sz 2024 2nd ed. 2024. monographic eng

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electronic resource

access XVIII, 252 p. 55 illus. online resource. This book describes, extends, and illustrates the metrics of binary classification through worked examples. Worked examples based on pragmatic test accuracy study data are used in chapters to illustrate relevance to day-to-day clinical practice. Readers will gain an understanding of sensitivity and specificity and predictive values along with many other parameters. The contents are highly structured, and the use of worked examples facilitates understanding and interpretation. This book is a resource for clinicians in any discipline who are involved in the performance or assessment of test accuracy studies and professionals in the disciplines of machine learning or informatics wishing to gain insight into clinical applications of 2x2 tables. Introduction -- Paired measures -- Paired complementary measures -- Unitary measures -- Number needed (reciprocal) measures and their combinations as likelihoods -- Quality (Q) measures -- Graphing methods -- Other measures, other tables -- Classification of metrics of binary classification. by A. J. Larner. Biometry Neurology  Medical informatics Machine learning Biostatistics Neurology Health Informatics Machine Learning QH323.5 9783031471940 https://doi.org/10.1007/978-3-031-47194-0 https://doi.org/10.1007/978-3-031-47194-0 240108 20251030110916.0 978-3-031-47194-0