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The 2x2 Matrix
Contingency, Confusion and the Metrics of Binary Classification
Andrew Larner
Livre broché | Anglais
84,45 €
+ 168 points
Description
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.
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.
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 252
- Langue:
- Anglais
Caractéristiques
- EAN:
- 9783031471933
- Date de parution :
- 09-01-24
- Format:
- Livre broché
- Format numérique:
- Trade paperback (VS)
- Dimensions :
- 154 mm x 234 mm
- Poids :
- 498 g
