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INTRODUCTION TO CLASSIFIER PERFORMANCE ANALYSIS WITH R
Εκδότης Taylor & Francis , ISBN 9781032850108
Classification problems are common in business, medicine, science, engineering and other sectors of the economy. Data scientists and machine learning professionals solve these problems through the use of classifiers. Choosing one of these data driven classification algorithms for a given problem is a challenging task. An important aspect involved in this task is classifier performance analysis (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.
Περίληψη
Classification problems are common in business, medicine, science, engineering and other sectors of the economy. Data scientists and machine learning professionals solve these problems through the use of classifiers. Choosing one of these data driven classification algorithms for a given problem is a challenging task. An important aspect involved in this task is classifier performance analysis (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.
Πληροφορίες προϊόντος
- Συγγραφέας Saw, Sutaip
- Eκδότης Taylor & Francis
- ISBN 9781032850108
- Κωδικός Ευριπίδη 040100092509
- Έτος κυκλοφορίας 2024
- Σελίδες 202
- Διαστάσεις 15χ23
- Βάρος 342 gr
