Book contents
- Frontmatter
- Contents
- Preface
- Acronyms
- 1 Introduction
- 2 Machine Learning and Statistics Overview
- 3 Performance Measures I
- 4 Performance Measures II
- 5 Error Estimation
- 6 Statistical Significance Testing
- 7 Datasets and Experimental Framework
- 8 Recent Developments
- 9 Conclusion
- Appendix A Statistical Tables
- Appendix B Additional Information on the Data
- Appendix C Two Case Studies
- Bibliography
- Index
Index
Published online by Cambridge University Press: 05 August 2011
- Frontmatter
- Contents
- Preface
- Acronyms
- 1 Introduction
- 2 Machine Learning and Statistics Overview
- 3 Performance Measures I
- 4 Performance Measures II
- 5 Error Estimation
- 6 Statistical Significance Testing
- 7 Datasets and Experimental Framework
- 8 Recent Developments
- 9 Conclusion
- Appendix A Statistical Tables
- Appendix B Additional Information on the Data
- Appendix C Two Case Studies
- Bibliography
- Index
Summary
- Type
- Chapter
- Information
- Evaluating Learning AlgorithmsA Classification Perspective, pp. 403 - 406Publisher: Cambridge University PressPrint publication year: 2011