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In a spam email detection system, there were 1 2 0 instances where the model correctly identified emails as spam, 3 0 instances where the
In a spam email detection system, there were instances where the model correctly identified
emails as spam, instances where the model incorrectly classified nonspam emails as spam, and
instances where the model failed to identify spam emails. marks
Calculate the values of precision and recall.
Provide the interpretation of precision and recall in the context of this spam email detection
model.
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