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Component Error Counts Guide Pipeline Priorities
If 100 misclassified dev-set images contain 90 errors attributable to the cat detector and only 10 attributable to the breed classifier, the team should focus more attention on improving the cat detector.
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What does error analysis by parts primarily tell you about a machine learning pipeline?
Error analysis by parts can only be performed using a rigorous formal procedure, not informally.
Error analysis by parts tells us what component(s) performance is worth the greatest _____ to improve.
Match each error analysis by parts concept to its correct description from Machine Learning Yearning.
Order the steps of the informal error analysis procedure Ng describes for a self-driving car pipeline.
Which three components make up the self-driving car pipeline Ng uses to illustrate informal error analysis by parts?
The primary goal of error analysis by parts is to help a developer decide which pipeline component to prioritize for improvement.
By carrying out error analysis by parts, you can _____ each mistake the algorithm makes to one or more pipeline components.
Match each component in Ng's self-driving car pipeline to the output it produces.
Order the reasoning steps a developer follows when applying error analysis by parts to prioritize pipeline improvements.
Learn After
Component-Specific Error Examples Enable Deeper Error Analysis
Which component should receive more attention when 90 of 100 dev-set errors come from the cat detector?
When 90 of 100 dev-set errors come from the cat detector, you can safely conclude it should be prioritized for improvement.
The pipeline component that contributes the _____ errors in dev-set analysis should receive the most improvement focus.
Match each error-analysis observation to its correct interpretation.
Order the steps for using component error counts to guide pipeline improvement priorities.
A team finds the cat detector causes 9× more dev-set errors than the breed classifier. What is the most appropriate next action?
If the breed classifier causes only 10 of 100 dev-set errors, it should be the team's top improvement priority.
Examining 100 misclassified dev-set images and attributing each error to a pipeline _____ reveals which stage to improve first.
Match each component error analysis concept to its correct description.
Order the reasoning steps that lead from raw error counts to a justified pipeline improvement decision.
Explain how pipeline component error counts dictate development priorities.
Prioritizing engineering efforts in a sequential image processing pipeline using component error counts.
Determine pipeline improvement priority based on a 90 to 10 error distribution.