10-601 Evaluation
From Cohen Courses
Revision as of 13:11, 24 September 2013 by Wcohen (talk | contribs) (→What You Should Know Afterward)
This a lecture used in the Syllabus for Machine Learning 10-601
Slides
Readings
- Mitchell, Chapter 5.
What You Should Know Afterward
- What a confidence interval is.
- How to compute a confidence interval on the error rate of a classifier using the normal approximation.
- TBD....
