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What does ROC stand for in the context of model evaluation?

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Question: What does ROC stand for in the context of model evaluation?

Options:

  1. Receiver Operating Characteristic
  2. Receiver Output Curve
  3. Rate of Classification
  4. Random Output Curve

Correct Answer: Receiver Operating Characteristic

Solution: 

ROC stands for Receiver Operating Characteristic, which is a graphical representation of a classifier\'s performance.

What does ROC stand for in the context of model evaluation?

Practice Questions

Q1
What does ROC stand for in the context of model evaluation?
  1. Receiver Operating Characteristic
  2. Receiver Output Curve
  3. Rate of Classification
  4. Random Output Curve

Questions & Step-by-Step Solutions

What does ROC stand for in the context of model evaluation?
  • Step 1: Understand that ROC is an abbreviation.
  • Step 2: Know that ROC stands for Receiver Operating Characteristic.
  • Step 3: Recognize that ROC is used in model evaluation.
  • Step 4: Learn that ROC is a graphical representation.
  • Step 5: Understand that it shows how well a classifier performs.
  • Receiver Operating Characteristic – ROC is a graphical representation used to evaluate the performance of a binary classifier by plotting the true positive rate against the false positive rate at various threshold settings.
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