Introduction to classifier performance analysis with R / Sutaip L.C. Saw.

By:

Saw, Sutaip L.C [author]

Series: Chapman & Hall/CRC data science seriesPublisher: Boca Raton : CRC Press, Taylor and Francis Group, 2025Copyright date: 2025 Boca Raton : CRC Press, Taylor and Francis Group,Description: xix, 201 pages illustrations 24 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781032850108

Subject(s):

Additional physical formats: Introduction to classifier performance analysis with RDDC classification:

519.5/35 23/eng/20241118

LOC classification:

QA 278.65 .S29

Contents:

Introduction to classification -- Classifier performance measures -- Classifier performance curves -- Comparative analysis of classifiers -- Multiclass CPA -- Additional topics in CPA.

Summary: "Introduction to Classifier Performance Analysis with R provides an introductory account of commonly used CPA techniques for binary and multiclass problems, and use of the R software system to accomplish the analysis. Coverage draws on the extensive literature available on the subject, including descriptive and inferential approaches to CPA. Exercises are included at the end of each chapter to reinforce learning"-- Provided by publisher.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Books	NILE UNIVERSITY OF NIGERIA - MAIN LIBRARY	QA 278.65 .S29 2025 (Browse shelf(Opens below))	Available		0199375
Books	NILE UNIVERSITY OF NIGERIA - MAIN LIBRARY	QA 278.65 .S29 2025 (Browse shelf(Opens below))	Available		0199376

Total holds: 0

Includes bibliographical references (pages 187-196) and index.

Introduction to classification -- Classifier performance measures -- Classifier performance curves -- Comparative analysis of classifiers -- Multiclass CPA -- Additional topics in CPA.

"Introduction to Classifier Performance Analysis with R provides an introductory account of commonly used CPA techniques for binary and multiclass problems, and use of the R software system to accomplish the analysis. Coverage draws on the extensive literature available on the subject, including descriptive and inferential approaches to CPA. Exercises are included at the end of each chapter to reinforce learning"-- Provided by publisher.

There are no comments on this title.

to post a comment.