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What does the term 'AUC' stand for in the context of ROC analysis?

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Question: What does the term \'AUC\' stand for in the context of ROC analysis?

Options:

  1. Area Under the Curve
  2. Average Utility Coefficient
  3. Algorithmic Uncertainty Coefficient
  4. Area Under Classification

Correct Answer: Area Under the Curve

Solution: 

AUC stands for Area Under the Curve, which quantifies the overall ability of the model to discriminate between positive and negative classes.

What does the term 'AUC' stand for in the context of ROC analysis?

Practice Questions

Q1
What does the term 'AUC' stand for in the context of ROC analysis?
  1. Area Under the Curve
  2. Average Utility Coefficient
  3. Algorithmic Uncertainty Coefficient
  4. Area Under Classification

Questions & Step-by-Step Solutions

What does the term 'AUC' stand for in the context of ROC analysis?
  • Step 1: Understand that AUC is an abbreviation.
  • Step 2: Know that AUC stands for 'Area Under the Curve'.
  • Step 3: Recognize that this term is used in ROC analysis.
  • Step 4: Learn that ROC analysis is a method to evaluate how well a model can distinguish between two classes: positive and negative.
  • Step 5: Realize that AUC measures the overall ability of the model to correctly identify positive and negative cases.
  • AUC in ROC Analysis – AUC stands for Area Under the Curve, which measures the model's ability to distinguish between positive and negative classes.
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