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What does recall measure in a classification model?
What does recall measure in a classification model?
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What does recall measure in a classification model?
The ratio of true positives to the total actual positives
The ratio of true positives to the total predicted positives
The ratio of true negatives to the total actual negatives
The ratio of false negatives to the total actual positives
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Recall, also known as sensitivity, measures the ability of a model to find all the relevant cases (true positives).
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Q: What does recall measure in a classification model?
Solution:
Recall, also known as sensitivity, measures the ability of a model to find all the relevant cases (true positives).
Steps: 5
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Step 1: Understand that recall is a metric used in classification models.
Step 2: Recall is also called sensitivity.
Step 3: Recall measures how well the model identifies positive cases.
Step 4: Positive cases are the instances that are actually relevant or true positives.
Step 5: A high recall means the model finds most of the relevant cases.
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