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1. |
Record Nr. |
UNINA9910520073503321 |
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Autore |
Larner A. J. |
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Titolo |
The 2x2 Matrix : Contingency, Confusion and the Metrics of Binary Classification / / by A.J. Larner |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
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ISBN |
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9783030749200 |
9783030749194 |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (175 pages) |
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Collana |
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Mathematics and Statistics Series |
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Disciplina |
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Soggetti |
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Biometry |
Neurology |
Medical informatics |
Machine learning |
Biostatistics |
Health Informatics |
Machine Learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Introduction -- Paired measures -- Paired complementary measures -- Unitary measures -- Reciprocal measures -- Other measures, other tables -- Outcome measures not directly related to the 2x2 table -- Index. |
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Sommario/riassunto |
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This book presents and discusses the numerous measures of test performance that can be derived from 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 a good 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 |
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