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Incorrect Labels in a Validation Set
During error analysis, you may notice that some validation examples carry the wrong target label. In this situation, the example was mislabeled by a person before the model ever saw it, so the pair (x, y) contains an inaccurate value of . For instance, a photo of a scooter might be tagged as a bicycle, or a street-view image of a bus might be marked as a truck.
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Choose Error Categories You Can Act On
Error Review Improves Through Repeated Passes
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Incorrect Labels in a Validation Set
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Error Analysis as a Data-Science Lens on Model Mistakes
Multiple Valid Approaches to Error Analysis
Tasks Humans Can Perform Give Stronger Error Analysis Benchmarks
When diagnosing a model, what should error analysis focus on first?
Error analysis on a machine learning system must follow one fixed procedure.
Name the practice of reviewing mistakes to understand why predictions failed.
Match each error-analysis idea to the description that best fits it.
Put the steps of a simple dev-set error review in the right order.
Why is it useful to inspect misclassified examples during error analysis, even for error types you cannot immediately repair?
Error analysis is usually repeated after each round of model changes.
Error analysis can help you judge which improvement paths look most _____.
Match each error-analysis activity with the benefit it can provide.
Order the steps for deciding which error types to target after a first pass of error review.
Why Error Review Helps Set the Right Next Priorities
Plan the next review step after repeated image-classifier mistakes.
What is error analysis used for in machine learning?
Learn After
Adding a Mislabeled Column to Error Review
When to Repair Noisy Development Labels
Keep Validation and Test Label Fixes Aligned
In dev-set error analysis, what does it mean for an example to be mislabeled?
True or False: Mislabeled examples in a dev set are mistakes made by the model.
In a labeled example written as (x, _____), the second component is the target label.
Match each symbol in a mislabeled training example to its meaning.
Arrange the events that lead to finding a mislabeled validation example in a text classifier project.
What makes a dev-set example mislabeled?
Find the data problem in a traffic-sign classifier's dev set.
Where does a mislabeled dev example get its error?
Which option shows a mislabeled example in a wildlife image dataset used to classify birds?
True or False: In a mislabeled training example (x, y), the value y is wrong.