What does the term 'AUC' stand for in the context of ROC analysis?
Practice Questions
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Q1
What does the term 'AUC' stand for in the context of ROC analysis?
Area Under the Curve
Average Utility Coefficient
Algorithmic Uncertainty Coefficient
Area Under Classification
AUC stands for Area Under the Curve, which quantifies the overall ability of the model to discriminate between positive and negative classes.
Questions & Step-by-step Solutions
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Q
Q: What does the term 'AUC' stand for in the context of ROC analysis?
Solution: AUC stands for Area Under the Curve, which quantifies the overall ability of the model to discriminate between positive and negative classes.
Steps: 5
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.
