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One Score from Precision and Recall
When a task needs a single summary score for precision and recall, a simple option is to use their arithmetic mean.
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What is the main advantage of using one evaluation score while developing models?
A single score can help a team rank many models quickly.
Single-number metrics for model selection
Match each development choice to its role in testing model ideas.
Put the model-selection process with one metric in order.
Why a single evaluation score speeds model development
Use one primary score to compare many candidate models.
What two kinds of guidance does a single-number score provide?
What evaluation strategy best helps you choose quickly among many model candidates?
A single evaluation score can help a team choose among competing models and point the team toward the next improvement.
Learn After
A common way to combine precision and recall
True or False: Precision and recall are commonly combined by taking their simple arithmetic mean.
A common single-number summary that balances precision and recall is the _____ mean of the two.
Why combine precision and recall into one score when both matter?
Averaging precision and recall
One Simple Way to Merge Precision and Recall
Match the machine-learning metric to its description.
Order the steps for turning precision and recall into one decision metric.
Which simple operation can combine precision and recall into one score?
If precision and recall are both important, the best practice is to keep them as separate metrics instead of combining them into one score.
When precision and recall both matter, use a _____ metric.
Match each idea to the corresponding evaluation takeaway.
Put the steps in order for replacing two separate evaluation metrics with one overall score.
How should precision and recall be evaluated together?
Choosing One Score for a Risk-Flagging Model
One Simple Way to Combine Precision and Recall