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The 2x2 matrixcontingency, confusion...
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Larner, A. J.
The 2x2 matrixcontingency, confusion and the metrics of binary classification /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The 2x2 matrixby A.J. Larner.
其他題名:
contingency, confusion and the metrics of binary classification /
作者:
Larner, A. J.
出版者:
Cham :Springer International Publishing :2021.
面頁冊數:
1 online resource (xvi, 166 p.) :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Contingency tables.
電子資源:
https://doi.org/10.1007/978-3-030-74920-0
ISBN:
9783030749200$q(electronic bk.)
The 2x2 matrixcontingency, confusion and the metrics of binary classification /
Larner, A. J.
The 2x2 matrix
contingency, confusion and the metrics of binary classification /[electronic resource] :by A.J. Larner. - Cham :Springer International Publishing :2021. - 1 online resource (xvi, 166 p.) :ill., digital ;24 cm.
Introduction -- Paired measures -- Paired complementary measures -- Unitary measures -- Reciprocal measures -- Other measures, other tables -- Outcome measures not directly related to the 2x2 table -- Index.
This book presents and discusses the numerous measures of test performance that can be derived from 2x2 tables. Worked examples based on pragmatic test accuracy study data are used in chapters to illustrate relevance to day-to-day clinical practice. Readers will gain a good understanding of sensitivity and specificity and predictive values along with many other parameters. The contents are highly structured and the use of worked examples facilitates understanding and interpretation. This book is a resource for clinicians in any discipline who are involved in the performance or assessment of test accuracy studies, and professionals in the disciplines of machine learning or informatics wishing to gain insight into clinical applications of 2x2 tables.
ISBN: 9783030749200$q(electronic bk.)
Standard No.: 10.1007/978-3-030-74920-0doiSubjects--Topical Terms:
210352
Contingency tables.
LC Class. No.: R858 / L37 2021
Dewey Class. No.: 610.151
The 2x2 matrixcontingency, confusion and the metrics of binary classification /
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