國立高雄大學圖資館 |

Language: English

Back

The 2x2 matrixcontingency, confusion and the metrics of binary classification /

Record Type:	Electronic resources : Monograph/item
Title/Author:	The 2x2 matrixby A. J. Larner.
Reminder of title:	contingency, confusion and the metrics of binary classification /
Author:	Larner, A. J.
Published:	Cham :Springer International Publishing :2024.
Description:	xviii, 252 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Contingency tables.
Online resource:	https://doi.org/10.1007/978-3-031-47194-0
ISBN:	9783031471940$q(electronic bk.)

The 2x2 matrixcontingency, confusion and the metrics of binary classification /
Larner, A. J.

The 2x2 matrixcontingency, confusion and the metrics of binary classification /[electronic resource] :by A. J. Larner. - Second edition. - Cham :Springer International Publishing :2024. - xviii, 252 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9783031471940$q(electronic bk.)

Standard No.: 10.1007/978-3-031-47194-0doiSubjects--Topical Terms:

210352
Contingency tables.

LC Class. No.: R858 / .L37 2024

Dewey Class. No.: 610.151

The 2x2 matrixcontingency, confusion and the metrics of binary classification /
LDR:02062nmm a2200337 a 4500 001 663446
003 DE-He213
005 20240108182330.0
006 m d
007 cr nn 008maaau
008 241203s2024 sz s 0 eng d
020 $a 9783031471940$q(electronic bk.)
020 $a 9783031471933$q(paper)
024 7 $a 10.1007/978-3-031-47194-0 $2 doi
035 $a 978-3-031-47194-0
040 $a GP $c GP
041 0 $a eng
050 4 $a R858 $b .L37 2024
072 7 $a PBT $2 bicssc
072 7 $a MED090000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 610.151 $2 23
090 $a R858 $b .L325 2024
100 1 $a Larner, A. J. $3 469234
245 1 4 $a The 2x2 matrix $h [electronic resource] : $b contingency, confusion and the metrics of binary classification / $c by A. J. Larner.
250 $a Second edition.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2024.
300 $a xviii, 252 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
650 0 $a Contingency tables. $3 210352
650 0 $a Medical informatics. $3 196487
650 1 4 $a Biostatistics. $3 339693
650 2 4 $a Neurology. $3 211583
650 2 4 $a Health Informatics. $3 274212
650 2 4 $a Machine Learning. $3 833608
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-47194-0
950 $a Medicine (SpringerNature-11650)

based on 0 review(s)

Multimedia

Multimedia file
https://doi.org/10.1007/978-3-031-47194-0

Reviews

Add a review and share your thoughts with other readers

Export

pickup library