Book contents
- Frontmatter
- Dedication
- Contents
- Abbreviations
- Preface
- Acknowledgments
- Part I Preliminary Considerations
- Part II Evaluation for Classification
- Part III Evaluation for Other Settings
- 8 Supervised Settings Other Than Simple Classification
- 9 Unsupervised Learning
- Part IV Evaluation from a Practical Perspective
- Appendices
- References
- Index
8 - Supervised Settings Other Than Simple Classification
from Part III - Evaluation for Other Settings
Published online by Cambridge University Press: 07 November 2024
Book contents
- Frontmatter
- Dedication
- Contents
- Abbreviations
- Preface
- Acknowledgments
- Part I Preliminary Considerations
- Part II Evaluation for Classification
- Part III Evaluation for Other Settings
- 8 Supervised Settings Other Than Simple Classification
- 9 Unsupervised Learning
- Part IV Evaluation from a Practical Perspective
- Appendices
- References
- Index
Summary
Chapter 8 introduces evaluation procedures for paradigms other than classification. In particular, it discusses evaluation for classical problems such as regression analysis, time-series analysis, outlier detection, and reinforcement learning, along with evaluation approaches for newer tasks such as positive-unlabelled classification, ordinal classification, multi-labeled classification, image segmentation, text generation, data stream mining, and lifelong learning.
- Type
- Chapter
- Information
- Machine Learning EvaluationTowards Reliable and Responsible AI, pp. 211 - 251Publisher: Cambridge University PressPrint publication year: 2024