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简介
Evaluating Learning Algorithms: A Classification Perspective 豆 0.0分
资源最后更新于 2020-09-27 15:06:19
作者:Nathalie Japkowicz
出版社:Cambridge University Press
出版日期:2011-01
ISBN:9780521196000
文件格式: pdf
标签: 机器学习 evaluating ML
简介· · · · · ·
The field of machine learning has matured to the point where many sophisticated learning approaches can be applied to practical applications. Thus it is of critical importance that researchers have the proper tools to evaluate learning approaches and understand the underlying issues. This book examines various aspects of the evaluation process with an emphasis on classification...
目录
1. Introduction
2. Machine learning and statistics overview
3. Performance measures I
4. Performance measures II
5. Error estimation
6. Statistical significance testing
7. Data sets and experimental framework
8. Recent developments
9. Conclusion
Appendix A: statistical tables
Appendix B: additional information on the data
Appendix C: two case studies.
2. Machine learning and statistics overview
3. Performance measures I
4. Performance measures II
5. Error estimation
6. Statistical significance testing
7. Data sets and experimental framework
8. Recent developments
9. Conclusion
Appendix A: statistical tables
Appendix B: additional information on the data
Appendix C: two case studies.