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Precision for a Cat Detector
Precision is the proportion of examples the model predicted as cats on the dev or test set that were actually cats.
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Precision for a Cat Detector
Recall for a Positive-Class Detector
One Score from Precision and Recall
Averaging Several Metrics into One Score
Using a Dev Set to Compare Model Versions
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
Precision and Recall Usually Compete
What does precision mean for a spam filter?
True or False: Precision is determined only from the examples a classifier predicts as positive.
Precision is the fraction of predicted positives that _____.
Match each term to its description related to precision.
Order the steps to calculate precision for an image classifier.
Explain why precision alone can be misleading for a model that flags damaged packages.
Compute a classifier’s precision on a validation set.
What is the denominator used when calculating Precision?
Which situation describes low precision for a spam filter?
True or False: Precision Is Computed on the Training Set