Contingency, Confusion and the Metrics of Binary Classification
Buch, Englisch, 252 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 467 g
ISBN: 978-3-031-47193-3
Verlag: Springer International Publishing
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.
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Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Neurologie, Klinische Neurowissenschaft
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
Weitere Infos & Material
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.
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