Why are significance tests uncommon for interim dev set progress?
Question: In one to three sentences, state the source's view of using statistical significance tests to measure interim progress on the dev set.
Sample answer: Most teams do not use statistical significance tests routinely for dev set changes. The author usually does not find them useful for measuring interim progress, though academic research publication is a stated exception.
Key points:
- Most teams do not bother with the tests.
- The author usually does not find them useful for interim progress.
- Academic research papers are the stated exception.
Rubric: The answer should mention both the lack of routine use and the author's view that the tests are usually not useful for interim progress; noting the academic-publication exception strengthens completeness.
0
1
Tags
Machine Learning
Deep Learning
Machine Learning Strategy
Supervised Learning
Dive into Deep Learning @ D2L
Data Science
Machine Learning Yearning @ DeepLearning.AI
Related
When are teams most likely to test whether a dev set change is statistically significant?
Most teams routinely test every dev set improvement for statistical significance.
Most teams skip significance tests unless publishing _____.
Match each context with the source's position on significance testing.
Order the reasoning for deciding whether to test a dev set change.
Explain the gap between theory and practice for significance tests on dev set changes.
Should a team test every interim dev set change for statistical significance?
Why are significance tests uncommon for interim dev set progress?
Which statement best captures the source's position on testing dev set changes?
The source rejects the possibility of testing dev set changes because teams rarely do it.