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The 2x2 Matrix: Contingency, Confusion and the Metrics of Binary Classification

Autor A. J. Larner
en Limba Engleză Paperback – 9 ian 2024
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.
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Specificații

ISBN-13: 9783031471933
ISBN-10: 3031471938
Pagini: 252
Ilustrații: XVIII, 252 p. 55 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.5 kg
Ediția:2nd ed. 2024
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Cuprins

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.


Notă biografică

AJ Larner has been a consultant neurologist with an interest in cognitive disorders for over 20 years, affording him a wealth of experience in the use of 2x2 tables in the context of diagnostic test accuracy studies in clinical practice.

Textul de pe ultima copertă

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.

Caracteristici

Provides worked examples using data from clinical practice Explains the development of 2x2 tables and their implications for clinical practice Provides comprehensive coverage of basics of the topic at a level accessible to those with basic mathematical knowledge