Book contents
- Frontmatter
- Dedication
- Contents
- Abbreviations
- Preface
- Acknowledgments
- Part I Preliminary Considerations
- 1 Introduction
- 2 Statistics Overview
- 3 Machine Learning Preliminaries
- 4 Traditional Machine Learning Evaluation
- Part II Evaluation for Classification
- Part III Evaluation for Other Settings
- Part IV Evaluation from a Practical Perspective
- Appendices
- References
- Index
2 - Statistics Overview
from Part I - Preliminary Considerations
Published online by Cambridge University Press: 07 November 2024
Book contents
- Frontmatter
- Dedication
- Contents
- Abbreviations
- Preface
- Acknowledgments
- Part I Preliminary Considerations
- 1 Introduction
- 2 Statistics Overview
- 3 Machine Learning Preliminaries
- 4 Traditional Machine Learning Evaluation
- Part II Evaluation for Classification
- Part III Evaluation for Other Settings
- Part IV Evaluation from a Practical Perspective
- Appendices
- References
- Index
Summary
Chapter 2 reviews the principles of statistics that are necessary for the discussion of machine learning evaluation methods, especially the statical analysis discussion of Chapter 7. In particular, it reviews the notions of random variables, distributions, confidence intervals, and hypothesis testing.
- Type
- Chapter
- Information
- Machine Learning EvaluationTowards Reliable and Responsible AI, pp. 8 - 32Publisher: Cambridge University PressPrint publication year: 2024