Precision and Recall in Firefighter Scenario Quiz
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Questions and Answers

What is Precision in the context of evaluating a model's performance?

  • It evaluates the overall correctness of the model's predictions.
  • It is the fraction of positive cases that are correctly identified.
  • It considers the cases where the model predicts True Positives and False Negatives. (correct)
  • It is the fraction of negative cases that are correctly identified.

    • Why is Precision considered an important evaluation criteria for a model?

  • High Precision suggests a model is perfect.
  • Low Precision means the model is accurate but not reliable.
  • Low Precision leads to complacency and more false alarms. (correct)
  • Precision has no impact on model performance.

    • What does Recall measure when assessing a model's performance?

  • The fraction of positive cases that are correctly identified. (correct)
  • The cases where the model predicts False Positives.
  • The fraction of negative cases that are correctly identified.
  • The total number of predictions made by the model.

    • How does Recall parameter contribute to evaluating a model's performance?

    <p>It focuses on minimizing False Negatives to ensure no positive case is missed.</p> Signup and view all the answers

    In which scenario can a False Negative be most costly according to the text?

    <p>Predicting a viral outbreak</p> Signup and view all the answers

    When does a False Positive condition cost more than False Negatives as discussed in the text?

    <p>Predicting a mining location</p> Signup and view all the answers

    What is the F1 score defined as in the context provided?

    <p>The measure of balance between Precision and Recall</p> Signup and view all the answers

    When can we achieve a perfect F1 score according to the text?

    <p>When both Precision and Recall are 100%</p> Signup and view all the answers

    What does Accuracy measure?

    <p>The percentage of correct predictions out of all the observations</p> Signup and view all the answers

    Which formula represents Accuracy?

    <p>(True Positives + True Negatives) / Total Observations</p> Signup and view all the answers

    What does Precision measure in model evaluation?

    <p>Percentage of true positive cases versus all the cases where the prediction is true</p> Signup and view all the answers

    Which concept involves the rate of correct positive predictions to the overall number of positive instances in the dataset?

    <p>Recall</p> Signup and view all the answers

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