Learn Before
Category percentages in an error review table must total exactly 100%.
0
1
Tags
Machine Learning
Deep Learning
Supervised Learning
Dive into Deep Learning @ D2L
Data Science
Machine Learning Strategy
Machine Learning Yearning @ DeepLearning.AI
Related
Why can error-category percentages sum to more than 100% in a review table?
A single error-log entry can only receive one label.
Because one inspection finding can belong to _____ issue groups, the percentages in an error summary table may add up to more than 100%.
Match each error-analysis term with its meaning.
Order the steps for reviewing misclassified validation examples with a category spreadsheet.
What does it indicate when one validation example is marked in more than one error category column?
Category percentages in an error review table must total exactly 100%.
In a photo audit of 48 products, one record may be marked both "wrong class" and _____.
Match each observation from a quality-audit table to the conclusion it supports.
Put the steps in order for explaining why category percentages can exceed 100% in an audit sheet.
Why One Error Can Belong to Several Categories in an Error Log
Why Overlapping Error Labels Can Add Up to More Than 100 Percent
How shared labels affect spreadsheet totals