True or False: A dev set with 10,000 examples can often reveal an accuracy gain of about 0.1 percentage point.
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
What dev set size is commonly suggested for detecting a 0.1% improvement in accuracy?
True or False: A validation set with 1,000 examples is enough to reliably detect a 0.1% improvement in accuracy.
Development sets with _____ to 10,000 examples are often considered common.
Which dev set size range is commonly used in practical machine learning projects?
Validation Set Size for Tiny Accuracy Gains
Match each development-set idea to its best description.
Put the validation-set sizing logic in order.
What size of accuracy change is a 10,000-example dev set generally able to detect?
True or False: A development set with 1,000 examples is smaller than the commonly suggested range for spotting very small improvements.
Common development-set sizes begin at _____ examples.
Match each development-set situation to the most accurate classification.
Arrange the steps for deciding when a dev set must be large enough to notice a tiny metric gain.
Why Dev Set Size Matters for Detecting Small Gains
Selecting a Dev Set Size for a Small Accuracy Gain
Choosing a Development Set for Tiny Metric Gains