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In a case study, if a model's precision is 0.9 and recall is 0.6, what is the F1

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Question: In a case study, if a model\'s precision is 0.9 and recall is 0.6, what is the F1 score?

Options:

  1. 0.72
  2. 0.75
  3. 0.80
  4. 0.85

Correct Answer: 0.72

Solution: 

The F1 score is calculated as 2 * (precision * recall) / (precision + recall), which results in 0.72.

In a case study, if a model's precision is 0.9 and recall is 0.6, what is the F1

Practice Questions

Q1
In a case study, if a model's precision is 0.9 and recall is 0.6, what is the F1 score?
  1. 0.72
  2. 0.75
  3. 0.80
  4. 0.85

Questions & Step-by-Step Solutions

In a case study, if a model's precision is 0.9 and recall is 0.6, what is the F1 score?
  • Precision – The ratio of true positive predictions to the total predicted positives, indicating the accuracy of positive predictions.
  • Recall – The ratio of true positive predictions to the total actual positives, indicating the model's ability to identify all relevant instances.
  • F1 Score – The harmonic mean of precision and recall, providing a single metric that balances both concerns.
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