9783030749194-3030749193-The 2x2 Matrix: Contingency, Confusion and the Metrics of Binary Classification

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

ISBN-13: 9783030749194
ISBN-10: 3030749193
Edition: 1st ed. 2021
Author: A. J. Larner
Publication date: 2022
Publisher: Springer
Format: Paperback 182 pages
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Book details

ISBN-13: 9783030749194
ISBN-10: 3030749193
Edition: 1st ed. 2021
Author: A. J. Larner
Publication date: 2022
Publisher: Springer
Format: Paperback 182 pages

Summary

The 2x2 Matrix: Contingency, Confusion and the Metrics of Binary Classification (ISBN-13: 9783030749194 and ISBN-10: 3030749193), written by authors A. J. Larner, was published by Springer in 2022. With an overall rating of 4.5 stars, it's a notable title among other AI & Machine Learning (Computer Science) books. You can easily purchase or rent The 2x2 Matrix: Contingency, Confusion and the Metrics of Binary Classification (Paperback) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.52.

Description

From the Back Cover
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.
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.

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